Volume 08, Issue 04, July 2022

  • A Literature Review on Conventional algorithm for PSS timing in 5G-NR N Nishanth, Moulya Gowda, Adithya Jha, Vinod B Durdi

    The primary aims of 5G are larger data speeds, ultra-low latency, and more dependability than its predecessor 4G. These objectives can only be realized if the mobile (user equipment) and base station create a synchronized connection, hence downlink synchronisation becomes the most critical characteristic. The establishment of downlink synchronisation between the user equipment and the base station relies heavily on cell search

    A Literature Review on Conventional algorithm for PSS timing in 5G-NR

    N Nishanth, Moulya Gowda, Adithya Jha, Vinod B Durdi

    A Literature Review on Conventional

  • Impact of E-Governance on the performance of MSME units registered in South Kerala, India Gayathri.H, Dr. Narasimha Raja.Y

    The article gives the result for a study on e-governance and its impact on the performance of MSME units registered in South Kerala, India (Trivandrum, Kollam and Pathanamthitta districts). The variables of the study are usage of E-governance (independent), five benefit factors (mediators) and the performance of business units (dependent). District Industry Centre Kollam, Trivandrum and Pathanamthitta in South Kerala, India has supported

    Impact of E-Governance on the performance of MSME units registered in South Kerala, India

    Gayathri.H, Dr. Narasimha Raja.Y

    Impact of E-Governance on the performance

  • A study on the effect of stress on worker’s performance at Keltron controls, Aroor, Kerala Dr. Leeba Thomas

    The wellbeing of mankind is very important to the management as human resources are essential in modern organisation. stress occurs from different reasons. The stress may be coming from certain internal and external factors. So organisations are concerned in finding out the organisational stressors and removing them as far as possible. Stress is an inevitable factor in organisations. It affects a person physically and psychologically

    A study on the effect of stress on worker’s performance at Keltron controls, Aroor, Kerala

    Dr. Leeba Thomas

    A study on the effect of stress on worker’s

  • Comparison of Phytochemical and Antibacterial Screening of Leaves and Latex of Calotropis Procera Tripti Joshi, Pooja Naudiyal, Alok Maithani, *Neetu Pandey

    Objective: To compare and investigate the antibacterial and phytochemical screening of leaves and latex extract of Calotropis procera. Method: Extract of petroleum ether, ethanol, chloroform and water was made and all the mentioned extract were than evaluated for the phytochemical test and the antibacterial activity. Result: The antibacterial activity of leaf and latex extract has been reported with three bacteria’s namely Escheria coli

    Comparison of Phytochemical and Antibacterial Screening of Leaves and Latex of Calotropis Procera

    Tripti Joshi, Pooja Naudiyal, Alok Maithani, *Neetu Pandey

    Comparison of Phytochemical and Antibacterial

  • Vehicle Accident Detection and Rescue Information System Using IOT G Nikhitha, Nita G Kulkarni

    Many times, the person involved in accidents does not receive help from others; therefore, auto-detection of the accident and informing the victim's family or emergency services about the location of the accident plays a critical part in saving a person's life. The clock period between the commencement of the misfortune and the arrival of a hospital wagon to the incident site is a crucial in the survivability following the accident

    Vehicle Accident Detection and Rescue Information System Using IOT

    G Nikhitha, Nita G Kulkarni

    Vehicle Accident Detection and Rescue

  • SELF POWERED CLOUD BASED DEVICE CONTROL USING NODE MCU J. R. Johnson, Dr. N. Viswanathan, Dr. D. Chitra

    In the proposed structure, manageable power is delivered using sun-situated cells which are made by utilizing graphene-based nanomaterials give higher light-energy change capability. The made energy is taken care of in a battery effectively and it will be changed over into 5 or 12 volts and sent off a Microcontroller. The Microcontroller controllers the stepper motor from a distance with the support of continuous developments IoT and Cloud enrolling

    SELF POWERED CLOUD BASED DEVICE CONTROL USING NODE MCU

    J. R. Johnson, Dr. N. Viswanathan, Dr. D. Chitra

    SELF POWERED CLOUD BASED DEVICE

  • Applications of LIE Groups to Minimal Surfaces PDE Sabi Ahmad, Dr. Niranjan kumar Mishra

    Using the theory of symmetry groups of differential equations (P.J.Olver [15]) we determine the symmetry group of the minimal surfaces equation (1) (presented in Theorem2). Several group − invariant solutions of the equation aregiven Key-words: symmetry group, jet space, infinitesimal criterion of invariance, group − invariant solutions optimal system

    Applications of LIE Groups to Minimal Surfaces PDE

    Sabi Ahmad, Dr. Niranjan kumar Mishra

    Applications of LIE Groups to Minimal Surfaces

  • A Study of e-HRM to Identify its Impact in Stress Management in Employees of Private Sector Banks Dr. Garima Srivastava

    The economy of a country is accelerated by its strong banking system. The banks act as a pillar in the progressive development of a country. Even in the current pandemic situation their importance is evident. The banking sector in turn faces challenges in the form of global banking, technological innovation and diversification which lead to stress. The employees in the organization faces several occupational stress like role ambiguity

    A Study of e-HRM to Identify its Impact in Stress Management in Employees of Private Sector Banks

    Dr. Garima Srivastava

    A Study of e-HRM to Identify its Impact

  • Analysis of Non-Linear Undamped Dynamic Vibration Absorber Shivaji Rode, Ajeet Patil, Sharad Gaikwad

    Most real-world phenomena show non-linear behavior. Given the linear behavior of a physical system, there are many situations in which satisfactory results can be obtained. On the other hand, there are situations and phenomena that require non-linear solutions. Non-linear structural behavior can be caused by geometric and material non-linearity, as well as changes in boundary conditions and structural integrity

    Analysis of Non-Linear Undamped Dynamic Vibration Absorber

    Shivaji Rode, Ajeet Patil, Sharad Gaikwad

    Analysis of Non-Linear Undamped Dynamic

  • A Study on Service Quality and Performance of Skin Care Clinics with Special Reference to Patients in Madurai City M. Malairaman, Dr. S. ROSITA, M. Lakshmi Priya

    The term skin care is widely used both by the public and health professionals. The current generation of people is more conscious about their health, including having a regular skincare routine. A proper skincare routine will ensure that your face looks clear and fresh regardless of the pollutants and other damages that might come your way A limited sample size of 80 respondents was considered because of time constraints

    A Study on Service Quality and Performance of Skin Care Clinics with Special Reference to Patients in Madurai City

    M. Malairaman, Dr. S. ROSITA, M. Lakshmi Priya

    A Study on Service Quality and Performance

  • Magical Realism and Surrealism: A Dialogue R. Ranjini Selvarani, C. Bazil Wilfred

    Magical Realism sprouted as a response to Realism. Magical Realism as a narrative technique was taken as a challenge by the Latin American Writers to express Realism of Latin America. The writers of Magical Realism called themselves exclusive in their employment of magical realism as no other writers belonging to any other nationality may not share the same emotions as they felt. In the same way, Surrealism, as a way of expressing reality

    Magical Realism and Surrealism: A Dialogue

    R. Ranjini Selvarani, C. Bazil Wilfred

    Magical Realism and Surrealism: A Dialogue

  • Sole proprietor’s awareness and preference towards investment avenues with special reference to Delhi/ NCR Ms. Radha Sharma, Dr. Megha Aggarwal

    In today's financial institution there are many ways to invest and it is difficult for everyone to choose from these options. Some of the roads offer great benefits with great risk and several offer little return and risk. The main objectives after investment are capital security, debt, revenue, stability and value. The study discusses investment awareness and the preferences of home owners who are looking at a variety of investment options

    Sole proprietor’s awareness and preference towards investment avenues with special reference to Delhi/ NCR

    Ms. Radha Sharma, Dr. Megha Aggarwal

    Sole proprietor’s awareness and preference

  • Design and development of coconut scrapping machine forsmall scale and household working Shubham S. Kadam

    The study presented here based on considerations taken into account of small-scale coconut scrapping requirement. There is need of smart solution for scrapping the coconut into required scrapping with minimal effort. The presented solution helps to solve the problem of scrapping of coconut with minimal effort with cleanliness. The present study was taken up to improve a profile-raising strategy for innovation and generate public awareness

    Design and development of coconut scrapping machine forsmall scale and household working

    Shubham S. Kadam

    Design and development of coconut scrapping

  • Experimental Study on Reactive Powder Concrete Mr.Thejesh T N, Mr. Nandish K, Mr. Veeresh T S, Ms. Varshini B N, Ms. Anusha C R

    Reactive Powder Concrete (RPC) was developed in France in the early 1990s and the world’s first Reactive Powder Concrete structure, the Sherbrook Bridge in Canada, was erected in July 1997. Reactive Powder Concrete (RPC) is an ultra-high-strength and high ductility cementations composite with advanced mechanical and physical properties. It is a special concrete where the microstructure is optimized of gradation of all particles are in the mix

    Experimental Study on Reactive Powder Concrete

    Mr.Thejesh T N, Mr. Nandish K, Mr. Veeresh T S, Ms. Varshini B N, Ms. Anusha C R

    Experimental Study on Reactive Powder Concrete

  • Analysis of Air-Cooled Finned Tube Condenser using ANSYS of R134 Refrigerant Nomit Kumar Sahu, Vinay Kumar

    Condenser is a heat exchanger and is one of the most important component of an air conditioning system which exchanges heat from surroundings. The current research is investigating the application of R134 refrigerant on air cooled condenser. The CAD model of condenser is developed in Creo design software and CFD analysis is performed in ANSYS CFX. The temperature profiles and pressure profiles are generated for three different diametersof tubes

    Analysis of Air-Cooled Finned Tube Condenser using ANSYS of R134 Refrigerant

    Nomit Kumar Sahu, Vinay Kumar

    Analysis of Air-Cooled Finned Tube

  • Improving Stability of Soil Using Natural Fiber's (Coconut Coir) THEJESH T N., HEMANTH M V., SATHISH S M., SHASHANK S V., THANUJA S R.

    Soil having poor bearing and shearing strength need stabilization to make it suitable for construction purpose. In this study coir (extracted from coconut) is used as natural fiber for stabilization of soil. Stabilization using natural fiber is a cost-effective and ecofriendly approach to improve properties of soil. Chemical-based or synthetic fibers harm our environment so; the use of natural fiber is an initiative to maintain balance in nature

    Improving Stability of Soil Using Natural Fiber's (Coconut Coir)

    THEJESH T N., HEMANTH M V., SATHISH S M., SHASHANK S V., THANUJA S R.

    Improving Stability of Soil Using Natural

  • Fuzzy Logic Control Based Bidirectional DC/DC/AC Converter for Grid and Electric Vehicle Hybrid Energy Storage System Dr. J. Srinu Naick, P.Theertha

    As EVs gain popularity, charging technologies must improve. Power conversion and control are needed for renewable energies, distributed generation, energy storage, and electric cars. In hybrid systems, this approach is generally performed in two steps, increasing power losses and expenses. Inverters, fuel cells, hybrid and electric vehicles, and ac/dc microgrids use this setup. Most three-port topologies include numerous power processing steps

    Fuzzy Logic Control Based Bidirectional DC/DC/AC Converter for Grid and Electric Vehicle Hybrid Energy Storage System

    Dr. J. Srinu Naick, P.Theertha

    Fuzzy Logic Control Based Bidirectional

  • Modeling and Intelligent-ANFIS Control Design for Fast EV Charging Based on Isolated AC-DC Converter Dr. J. Srinu Naick, K. Lakshmi Priyanka

    This paper presents a four-channel WPT system with quick responses and flexibility for EV charging and battery testing. The fast-current converter can simulate on-road power flow by managing battery current in the lab. The four-channel system increases dependability and durability by producing 50 kW of output power with low-power Silicon components. The four-channel magnetic coupler separates channels based on coil layout and construction

    Modeling and Intelligent-ANFIS Control Design for Fast EV Charging Based on Isolated AC-DC Converter

    Dr. J. Srinu Naick, K. Lakshmi Priyanka

    Modeling and Intelligent-ANFIS Control

  • ANFIS Control Based improve for a Transient and Voltage Stability of Photovoltaic Inverters microgrid system Dr. J. Srinu Naick, P. Ashok Kumar

    the addition of more megawatt-scale photovoltaic (PV) power plants and other large Inverter-based power stations to the electricity system is causing changes in the way the power grid is managed. In response to these developments, new grid code requirements mandate that inverter-based power stations not only stay connected to the grid but also provide Dynamic support. With defective conditions, the integration of renewable-energy power sources

    ANFIS Control Based improve for a Transient and Voltage Stability of Photovoltaic Inverters microgrid system

    Dr. J. Srinu Naick, P. Ashok Kumar

    ANFIS Control Based improve for a Transient

  • Combined Use of Human Hair and Use Waste Tyre Crumbs as Environmental Friendly Material in Cement Concrete Asma Noorain, Er. Anuj Sachar, Er Muntazir Ahmad Bhat

    The comparative analysis of the experimental results of the combined use of Rubber tyre crumps and human hair as an ecofriendly material in recycled aggregate with different ratios of Rubber tyre crumps and human hair @ 1.5% are presented during this thesis. Recycled aggregate was made by crushing the waste concrete of laboratory test cube and precast concrete columns. Since the traditional times, many researchers and advancements

    Combined Use of Human Hair and Use Waste Tyre Crumbs as Environmental Friendly Material in Cement Concrete

    Asma Noorain, Er. Anuj Sachar, Er Muntazir Ahmad Bhat

    Combined Use of Human Hair and Use Waste

  • Effect of Titanium on Temper Embrittlement in 2.25cr-1mo Steel Weldment J. Joel Bhagyanath, R. Sivasankari, A.Vinoth, J. Krishnamoorthi

    2.25Cr-1Mo are creep resistant used in boilers, pressure vessels and heat exchangers. Temper embrittlement is the predominant problem in these steels upon exposure at high temperature (400-600oC) for prolonged duration. This is due to segregation of specific impurities in the steel, which segregate to prior austenite grain boundaries. The main embrittling elements are antimony, phosphorous, tin and arsenic. Temper embrittlement

    Effect of Titanium on Temper Embrittlement in 2.25cr-1mo Steel Weldment

    J. Joel Bhagyanath, R. Sivasankari, A.Vinoth, J. Krishnamoorthi

    Effect of Titanium on Temper Embrittlement

  • Face PIN: Face Biometric Authentication System for ATM using Deep Learning Sanchana. R, Purundaranarayanan, Kevin Richard, Balavinayagam. S

    Automated Teller Machines also known as ATM'sare widely used nowadays by each and every one. There is an urgent need for improving security in banking region. Due to tremendous increase in the number of criminals and their activities, the ATM has become insecure. ATM systems today use no more than an access card and PIN for identityverification. The recent progress in biometric identification techniques, including finger printing

    Face PIN: Face Biometric Authentication System for ATM using Deep Learning

    Sanchana. R, Purundaranarayanan, Kevin Richard, Balavinayagam. S

    Face PIN: Face Biometric Authentication

  • Study & comparative analysis of microstructure and mechanical properties of magnesium forged with cast components Jay A Shah, Shailendra P Shisode

    In automobile industry, there is always need for lightweight, higher efficiency and environmentally benefitted systems. With the need of futuristic material development, automobile applications are finding a way to replace existing material with Magnesium (Mg). In this study the main focus is on AZ91D alloy due to its most application in automotive and aerospace industries. Magnesium has 1.74 g/cm3 density which is about one-third of aluminum

    Study & comparative analysis of microstructure and mechanical properties of magnesium forged with cast components

    Jay A Shah, Shailendra P Shisode

    Study & comparative analysis of microstructure

  • Artificial Neural Network in Mechanical Engineering: A Review PRASANNA GAVADE

    Artificial intelligence (AI) is a new technology that enables computers to sense, act, and react like humans. Artificial Neural Network (ANN) is one of the AI algorithms inspired by observable processes in the brain's biological neuron networks. ANN can recognize and learn patterns between inputs and related outputs. Once properly trained, ANN can predict the outcome of test input data. In this article, we review the existing ANN models

    Artificial Neural Network in Mechanical Engineering: A Review

    PRASANNA GAVADE

    Artificial Neural Network in Mechanical Engineering

  • A Review of Mathematical Models to Predict Sound Absorption Coefficient of Materials RUSHIKESH PATIL

    A variety of mathematical models can estimate the acoustic behavior of fibrous and porous materials. These developed mathematical models are used to find the Sound Absorption Coefficient (SAC) of fibers analytically. Even though these models have been developed for polyester fibrous material they can be also applied for natural fibers. Different mathematical models like Delany and Bazley, Garai and Pompoli, Miki Model

    A Review of Mathematical Models to Predict Sound Absorption Coefficient of Materials

    RUSHIKESH PATIL

    A Review of Mathematical Models to Predict

  • Lathe machine tool vibration minimization by using lapping layer of carbon fiber material Nisha Ramesh Jadhav, Prof. Dr. D. D. Date, Prof. A.Z.Patel, Prof.Dr.V.V.Mane

    Boring is a commonly used operation to enlarge the existing holes of machine structures. When boring tool is slender and long, it is subjected to excessive static deflections or self-excited chatter vibrations which are detrimental to the accuracy and surface finish of the hole. It also causes accelerated wear and chipping of the tool. Internal turning frequently requires a long and slender boring tool in order to machine

    Lathe machine tool vibration minimization by using lapping layer of carbon fiber material

    Nisha Ramesh Jadhav, Prof. Dr. D. D. Date, Prof. A.Z.Patel, Prof.Dr.V.V.Mane

    Lathe machine tool vibration minimization

  • Comparative Analysis and Validation for Cyber Forensic Model using the NSL-KDD Dataset Sagargouda S Patil, Dr. Dinesha H A

    Social media platform like twitter are facing the problems of the spam. In twitter fake users send undesired tweets to users to promote different services. The spam generally composed of malicious URLs, users that may steal your personal info, and hack accounts, which might be used for fraudulent activity. Also, nowadays, there are many websites on the internet which are being used for sharing the information, connecting people

    Comparative Analysis and Validation for Cyber Forensic Model using the NSL-KDD Dataset

    Sagargouda S Patil, Dr. Dinesha H A

    Comparative Analysis and Validation for Cyber

  • A Comparative Analysis of Existing Lie Detection Techniques Over Newly Proposed Approach Debanil Chanda, Rakesh Kumar Mandal

    Telling lie is very common in our society, especially during interpersonal communication. And people are very curious in finding truth. In the recent years, lie detection is a very interesting and challenging fields for researchers. Although various lie detection techniques are used from years, the main aim of this paper is to compare different existing lie detection techniques and propose a more efficient and reliable method for detection

    A Comparative Analysis of Existing Lie Detection Techniques Over Newly Proposed Approach

    Debanil Chanda, Rakesh Kumar Mandal

    A Comparative Analysis of Existing Lie Detection

  • A Study on Financial Literacy among Millennials in Mysore City Shyamala G, Dr. R. Mahesh

    Financial system influences the economic development of any country. Every generation affects the economy, but generation–Y or millennials have grown up with respect to rapid economic change, which provided them wider career opportunities compared to previous generations. Financial literacy plays a vital role for accomplish the financial goals of the millennials and assist to make financial decisions

    A Study on Financial Literacy among Millennials in Mysore City

    Shyamala G, Dr. R. Mahesh

    A Study on Financial Literacy among Millennials

  • Neural Network Based Image Classifier for Nuts and Bolts Faizan Muneer, Amritpal Singh

    The fundamental objective of the work is to develop a system that will be beneficial in the mechanical sector for the recognition of bolts and nuts. The aim of the study is to develop an image processing algorithm using principal component analysis to deliver standardized pictures which can be utilized as inputs for processing and detection. The Spyder software integrates all algorithms. This application also warrants a prototype which replicates

    Neural Network Based Image Classifier for Nuts and Bolts

    Faizan Muneer, Amritpal Singh

    Neural Network Based Image Classifier

  • Adversarial Examples Generation and Mitigation in Deep Neural Networks Harvish Jariwala, Nancy Radadia

    A trillion-crease expansion in calculation power has promoted the use of profound learning (DL) for dealing with an assortment of AI (ML) errands, like picture order, normal language handling , and game hypothesis. Notwithstanding, a serious security danger to the current DL calculations has been found by the exploration local area: Adversaries can undoubtedly trick DL models by irritating harmless examples without being found by people

    Adversarial Examples Generation and Mitigation in Deep Neural Networks

    Harvish Jariwala, Nancy Radadia

    Adversarial Examples Generation and Mitigation

  • Prognosis of Rolling Element Bearing Using LSTM Neural Network Shubham Kate, Sharad Gaikwad, Ajeet Patil

    Rolling element bearing is crucial component in mechanical system. It is subjected to challenging conditions which leads to rapid wear and tear in bearing. If such deterioration is not addressed, the overall system has risk of failure or breakdown. Prognostics uses prediction techniques to estimate the failure point of a system. RUL prediction techniques can be classified into two categories. Physics-based methods estimate the remaining time

    Prognosis of Rolling Element Bearing Using LSTM Neural Network

    Shubham Kate, Sharad Gaikwad, Ajeet Patil

    Prognosis of Rolling Element Bearing

  • A Survey on Secure Data Routing in Wireless Sensor Networks N. Senthilkumar, Dr N.Revathy

    Wireless Sensor Networks (WSN) is, to put it simply, distributed sensor networks in which the nodes are sensing and detecting devices. Because of the wireless nature of WSN sensors' communication, the network's physical layout may vary and adapt to new situations. It consists of tiny nodes with the capacity for sensing, processing, and wireless communication. Numerous routing, power management, and data dissemination protocols

    A Survey on Secure Data Routing in Wireless Sensor Networks

    N. Senthilkumar, Dr N.Revathy

    A Survey on Secure Data Routing in Wireless

  • A Comparative Study of Financial Analysis of Telecom Industry Dr. Meenu Baliyan, Punjika Rathi, Ishika Singhal

    The telecommunication plays a significant role in today’s market. In the last decade a dramatic change in the ownership structure of telecommunications companies has taken place, from public (state-owned) monopolies to private companies. Every industrialist must understand the industries in which they operate to ensure continued success. The financial performance of a business concern usually revealed the health

    A Comparative Study of Financial Analysis of Telecom Industry

    Dr. Meenu Baliyan, Punjika Rathi, Ishika Singhal

    A Comparative Study of Financial Analysis

  • ONLINE BOOK STORE SANCHANA.R, KARMUGIL.K, Deepika.S, Nikitha.V

    Online book store is a web application where the customers can purchase the books through online. The main objective of this project is to create an online book store. The online book store allows the user to search the books based on the title, author and by category finally allows the user to purchase the books through online. The user can login using his or her account details. The new customers can create an account quickly

    ONLINE BOOK STORE

    SANCHANA.R, KARMUGIL.K, Deepika.S, Nikitha.V

    ONLINE BOOK STORE

  • Prediction of Thyroid Using Machine Learning Techniques Shiva Ranjani J, Monica S, Suhas Shetty

    Thyroid disease is one of the leading causes of the emergence of medical diagnosis and prognosis, and its inception is a difficult medical research axiom. The thyroid gland is one of our body's most important organs. Thyroid hormone secretion is caused by metabolic regulation. Hyperthyroidism and hypothyroidism are two of the most common thyroid gland disorders. The thyroid gland produces thyroid hormones and regulates the body's metabolic rate.

    Prediction of Thyroid Using Machine Learning Techniques

    Shiva Ranjani J, Monica S, Suhas Shetty

    Prediction of Thyroid Using Machine

  • Characterization of Epoxy Matrix Based Polymer Composite with Hair Filler Dikshant Nitnaware, Prof. B.D. Aldar

    Composite materials are perfect for structural applications that demand a high strength-to-weight ratio. Composite materials are cost-effective in weight-sensitive systems like aircraft and spacecraft. Manufacturing methods, anisotropy, elasticity, material strength, and micromechanics are all subjects included in the research of composite materials. The goal of this research is to investigate the possibilities of Human Hair fibre polymer

    Characterization of Epoxy Matrix Based Polymer Composite with Hair Filler

    Dikshant Nitnaware, Prof. B.D. Aldar

    Characterization of Epoxy Matrix Based

  • Estimation of Peak Flood for Durgawati Dam Located in Bihar State (INDIA) Amit Kumar, Sitender Chhillar, Ritesh Kumar

    This paper describes the procedure for the estimation of 100 Year return period Flood using Flood Estimation Report for Sone Sub Zone – 1(d) by Central Water Commission (CWC), New Delhi. The Dam project for which the estimation of the flood has been carried out is Durgawati Dam project, which is in Kaimur district in the Indian state of Bihar. With the help of Flood Estimation Report of CWC, 25/50/100 year return period flood.

    Estimation of Peak Flood for Durgawati Dam Located in Bihar State (INDIA)

    Amit Kumar, Sitender Chhillar, Ritesh Kumar

    Estimation of Peak Flood for Durgawati Dam

  • Performance Analysis of Muscular Paralysis Diseaseusing Machine Learning Sharavathi M H, Mamatha R

    Electromyography has been used for many years in regulating paralyzed power limb. Captured and Processed EMG is an indication of human movements. EMG signal (called as Mayo signal) will be captured by various wireless sensor of low power, Bluetooth, and small interference. In this paper, the combined time and frequency analysis has been carried out to extract the required features using Wavelet Transform tools using

    Performance Analysis of Muscular Paralysis Diseaseusing Machine Learning

    Sharavathi M H, Mamatha R

    Performance Analysis of Muscular Paralysis

  • Embankment Breach Analysis of Durgawati Dam Using HEC RAS Software Amit Kumar, Sitender Chhillar, Ritesh Kumar

    This paper describes the Embankment Breach analysis of Durgawati Reservoir Dam (also known as Karamchat Dam), which is located in Kaimur district in the Indian state of Bihar. The Dam Breach analysis has been performed on HEC RAS software. HEC-RAS is a computer program developed by the United States Army Corps of Engineers. To perform the Dam Breach analysis, various other software has been used such as Google Earth and Global Mapper

    Embankment Breach Analysis of Durgawati Dam Using HEC RAS Software

    Amit Kumar, Sitender Chhillar, Ritesh Kumar

    Embankment Breach Analysis of Durgawati

  • Impact of Covid-19 On Startups & Local Economy Kshitij Garg

    The role of startups in economic prosperity is increasing in today’s world as it brings out the hidden entrepreneur in a person and also provide new innovations, new jobs and competitiveness to the business environment. Start-up entrepreneurs work closely with new technological innovation in order to improvepeople’s welfare and provide solutions to current issues. Despite the high risk associated with starting a business.

    Impact of Covid-19 On Startups & Local Economy

    Kshitij Garg

    Impact of Covid-19 On Startups

  • Implementation of Wavelet based Thresholding Technique for Denoising an Image Mamatha R,Sharavathi M H

    The image naturally corrupted with noise is the most classical problem in the field of image processing. Random noise can be easily removed by utilizing simple threshold methods. De-noising of the natural images distorted by the Gaussian noise using wavelet technique is the very efficient technique because of its ability to capture the energy of a signal in few energy transform value. The wavelet based denoising scheme thresholds

    Implementation of Wavelet based Thresholding Technique for Denoising an Image

    Mamatha R,Sharavathi M H

    Implementation of Wavelet based Thresholding

  • Database Systems Performance Evaluation for Cloud Applications Suhas Shetty, Monica S, Shiva Ranjani J

    As Cloud applications spread throughout smart city appliances, industry, and agriculture, the volume of data saved in Cloud databases grows. Large volumes of actuator and sensory data must be processed in real-time or interactively by modern database systems. Database providers are battling this first wave of the Cloud revolution on a daily basis to expand their market share, create new capabilities, and try to fix the flaws

    Database Systems Performance Evaluation for Cloud Applications

    Suhas Shetty, Monica S, Shiva Ranjani J

    Database Systems Performance Evaluation

  • Kidney Stones Detection using Image Processing & Deep Neural Networks Sai Manohar Vemuri, Kolli Sesha Shai Datta, Pavan Sai Vatrapu

    Kidney Stones have been a big problem in recent years, and if not found early, they can cause difficulties, necessitating surgery to remove the stone. Volumetric measurements of kidney stones are more useful and repeatable than linear measurements, according to previous research. Deep Learning-based algorithms that use non-contrast abdominal computed tomography (CT) scans may help detect stones and reduce the workload

    Kidney Stones Detection using Image Processing & Deep Neural Networks

    Sai Manohar Vemuri, Kolli Sesha Shai Datta, Pavan Sai Vatrapu

    Kidney Stones Detection using Image

  • Design and Analysis on Rear Axle Housing of a Truck J. Surya Prasad, K. Sunil Ratna Kumar

    Axle housing is one of the main component to play vital role in the various automobiles which is placed to rear end at the vehicle and carries different loads and stresses both static and dynamically at the same time transmit the power. Both the front and rear axle openings have centre housing. This project analyzing the static and model analysis of rear axle housing on different materials like steel, aluminium alloy

    Design and Analysis on Rear Axle Housing of a Truck

    J. Surya Prasad, K. Sunil Ratna Kumar

    Design and Analysis on Rear Axle

  • A Study on the application of Capital Asset Pricing Model on selected NIFTY 50 Stocks Kaniganti Rajesh, Mrs. M Sangeetha

    The Capital Asset Pricing Model (CAPM) is a general equilibrium market model evolved to analyze the relationship between risk and required rates of return on assets when they are held in well-diversified portfolios. As a result, a security's only impact on market risk is through its systemic risk; however, measuring systematic risk does not reveal whether or not stocks are accurately priced. Risk and return are related

    A Study on the application of Capital Asset Pricing Model on selected NIFTY 50 Stocks

    Kaniganti Rajesh, Mrs. M Sangeetha

    A Study on the application of Capital Asset

  • Gandhian Educational Thoughts and an Awakening of Spiritualism Ananya Mondal

    Religion is an institution established by man for various reasons. Exert control; instill morality, stroke egos, or whatever it does. Whereas Spirituality is a complete control over the conduct of human beings. It is the awakening of inner sense and manifestation of the perfection and divinity in men. The meaning of spirituality has developed and expanded over time, and various connotations can be found alongside each other

    Gandhian Educational Thoughts and an Awakening of Spiritualism

    Ananya Mondal

    Gandhian Educational Thoughts and an Awakening

  • Finite Element Analysis of Buckling Capacity of Pretwisted Steel Bars: A Review Athira S Babu, Dr. Anu James

    Any structure's support system is its column, which bears the weight of all the other structural parts. They thus constitute a crucial component of any structural design. Because of structural instability, buckling is the major form of failure for compression members. Pretwisted bars are those that have had their central axis twisted, strengthening the weak flexural plane and weakening the strong flexural plane.

    Finite Element Analysis of Buckling Capacity of Pretwisted Steel Bars: A Review

    Athira S Babu, Dr. Anu James

    Finite Element Analysis of Buckling Capacity

  • Effect of a persuasive message on prosocial behavior among adolescents Dr. Saranya TS, Munish Kumar

    Helping others is a character choice, however many times, outside elements have an effect on our selection to help others. A small message or video can maximum of the time impact human beings to be concerned in greater prosocial sports like donating cash for a social cause, agreeing for organ donation, blood donation, etc. The researchers attempted to discover the impact of the persuasive message on teenagers’ selection.

    Effect of a persuasive message on prosocial behavior among adolescents

    Dr. Saranya TS, Munish Kumar

    Effect of a persuasive message

  • Impact of education on community development in duvvada village of visakhapatnam district Dr. Ch. Asha Kiran Raju, Prof. T. Sobha Sri

    Over the last decade or so, the concept of social capital has grown in importance in relation to a number of related fields of study, including the identification of factors influencing educational attainment, explanations of differing levels of participation in formal and informal education, and conditions required for the construction and enhancement of institutions and practises conducive to lifelong learning

    Impact of education on community development in duvvada village of visakhapatnam district

    Dr. Ch. Asha Kiran Raju, Prof. T. Sobha Sri

    Impact of education on community

  • Digital Terrain Analysis of Tapi River Basin in Gujarat, India Gunjan R. Chauhan, Hiren Kumar J. Chaudhari

    With the new advancements in GIS techniques and better computer aid, the projects that require field exploration, can now be carried out digitally with ease. In the present paper a digital terrain analysis is performed using QGIS software with SAGA plugin. QGIS version 3.22.2 and SAGA 7.8.2 is utilized in present study. The study area is of Tapi river basin in Gujarat which is Surat district. The raw data is collected

    Digital Terrain Analysis of Tapi River Basin in Gujarat, India

    Gunjan R. Chauhan, Hiren Kumar J. Chaudhari

    Digital Terrain Analysis of Tapi

  • Water Demand Assessment: A case study of Cantonment area Agra Rajat Diwakar, Raghvendra Singh, Kamini Yadav, Shivam Dhakre, Devesh Jaysawal

    Water is the lifeline for nature and human. Water is the first essential thing that human need. Scarcity of potable water is a big problem in Agra region because ground water of Agra is not drinkable due to excess hardness and saline taste and Yamuna river which is flowing through Agra is heavenly polluted. Ganga Jal supply is a big project launched in 2020 which has been corrected this deficiency on a large extent.

    Water Demand Assessment: A case study of Cantonment area Agra

    Rajat Diwakar, Raghvendra Singh, Kamini Yadav, Shivam Dhakre, Devesh Jaysawal

    Water Demand Assessment

  • Socio Economic Condition of Tuk-Tuk Drivers and Problem Related to Tuk-Tuk Driving Mousumi Das

    Nowadays, E-Rickshaw is new the most popular short-distance mode of transport in the urban transport system, locally called Tuk-Tuk. This has made it possible to transport people and goods from one place in the city to other. It is an eco-friendly transportation system. Many people from different wards of Berhampore Municipality have found a new way to earn a living through it. But, unplanned urbanization, lack of road space.

    Socio Economic Condition of Tuk-Tuk Drivers and Problem Related to Tuk-Tuk Driving

    Mousumi Das

    Socio Economic Condition of Tuk-Tuk

  • Biomedical Waste Segregation and Management Nita Patil, Aniket Wagh, Pintu Mishra, Subodh Shinde, Aniket Koli

    Hospitals have been producing waste on a very large scale. The corresponding waste is of many types like wet, dry, metallic, and so on. So, segregation of waste becomes a prominent factor since segregating waste at the dumping ground is burdensome and usually ineffective. This paper aims to design such a model for the segregation of waste in mainly 3 categories such as non-metallic dry, non-metallic wet, and metallic waste

    Biomedical Waste Segregation and Management

    Nita Patil, Aniket Wagh, Pintu Mishra, Subodh Shinde, Aniket Koli

    Biomedical Waste Segregation and Management

  • Elasto-Plastic Analysis of Multi-Storey Building using BIM Kiran N. Hatwar, Mr. Sanjay K. Bhadke, Mr. Amey R. Khedikar

    The construction industry is moving towards digitalization, with greater amount of information being stored digitally. This development is being addressed by Building Information Modelling (BIM) technology. BIM is process of creating virtual building model which is parametric in nature, supporting collaboration among different specialists, provides the ability to analyse the building in simulated 3-D environment

    Elasto-Plastic Analysis of Multi-Storey Building using BIM

    Kiran N. Hatwar, Mr. Sanjay K. Bhadke, Mr. Amey R. Khedikar

    Elasto-Plastic Analysis of Multi

  • Effective Fare Prediction using Machine Learning Algorithms Dr. K Anuradha, Ashika Jayaraj

    Predictive analytics makes use of historical data to forecast future events. Past data is typically used to create a mathematical model that captures significant trends. The predictive model is then used to current data in order to forecast the future or advise actions to take in order to achieve the best results. Due to advancements in supporting technology, particularly in the fields of big data and machine learning

    Effective Fare Prediction using Machine Learning Algorithms

    Dr. K Anuradha, Ashika Jayaraj

    Effective Fare Prediction using Machine

  • Smart Disease Predictor Using Machine Learning Navaneetha Krishnan M, Prasanth G, Gowtham R

    Most of the present machine studying sickness prediction models for health care prediction focus on a single illness per analysis. One analysis may be for heart illness, another for cancer, and still another for diabetic problems. There's no single system in which one evaluation can carry out multiple disease illness prediction. This article proposes a system that uses machine learning and the Flask API to forecast numerous illnesses.

    Smart Disease Predictor Using Machine Learning

    Navaneetha Krishnan M, Prasanth G, Gowtham R

    Smart Disease Predictor Using Machine Learning

  • Criminal Face Detection Navaneetha Krishnan M, Kiyasudeen Jamal M

    A surge of organised crime activity is likely to try to weaken our law enforcement and defence agencies. In this case, technology plays a critical role. Video analytics is one facet of law enforcement's use of technology, and video analytics contains several components. Identifying patterns in different videos is one of the components. The goal is to study a 30-minute movie and capture the faces of the individuals in it.

    Criminal Face Detection

    Navaneetha Krishnan M, Kiyasudeen Jamal M

    Criminal Face Detection

  • Impact of Digital Marketing Strategies on The Marketing Effectiveness and Customer Satisfaction Dr. P. Jayarani, Mrs. Sonti Sushila Kishor

    Online advertising is a hard and fast of effective equipment and methodologies used for selling merchandise and carrier thru the net. Online advertising consists of a much broader variety of advertising factors than conventional enterprise advertising because of greater channels and advertising mechanism to be had at the net. Online advertising is marketing and marketing and advertising the goods

    Impact of Digital Marketing Strategies on The Marketing Effectiveness and Customer Satisfaction

    Dr. P. Jayarani, Mrs. Sonti Sushila Kishor

    Impact of Digital Marketing Strategies

  • Infrastructural Problems of Employees in Banking Services Dr. Anand T. Deshpande

    Infrastructure is a broad term, it includes various aspects like premises, flooring of the premises, space and so on. Infrastructure has a direct relationship with office lay out. The sitting arrangements, customer lobbies, safe custodies and record rooms form the part of infrastructure. Infrastructure before and after globalization

    Infrastructural Problems of Employees in Banking Services

    Dr. Anand T. Deshpande

    Infrastructural Problems of Employees

  • Review on Environmental sustainability of smallscale biomass power Technologies for agricultural communities in developing countries Mr. Gage Sachin M, Mr. Wani Chandrashekar N

    Agricultural wastes are readily available in farming communities and can be utilised for off-grid electrification as an alternative to diesel generators. This work evaluates for the first time the life cycle environmental sustainability of these small-scale systems in the context of Southeast Asia. Rice and coconut residues are considered for direct combustion and gasification, and livestock manure for anaerobic digestion

    Review on Environmental sustainability of smallscale biomass power Technologies for agricultural communities in developing countries

    Mr. Gage Sachin M, Mr. Wani Chandrashekar N

    Review on Environmental sustainability of smallscale

  • Analysis of Crime Against Women Using Machine Learning Algorithms Dr.K.Anuradha, K.Janani

    In worldwide Crime level is increasing every day. Offense can't be expected since it is either proficient or unplanned. Crime is a cost-effective trouble distressing life value and economic escalation. The particulars of how crime is performed revolutionize depending on the type of nation and society. Prior researches in crime prediction have originated that factors resembling education, deficiency, employment, and circumstances

    Analysis of Crime Against Women Using Machine Learning Algorithms

    Dr.K.Anuradha, K.Janani

    Evaluation of Career Guidance

  • Performance assessment of concrete produced using different types of surface water Nitin U.Thakare, Avinash N.Shrikhande

    This research looks into the possibility of using surface water as a concrete mixing water. Three types of surface water were employed as mixing water in concrete, including Futala lake water, Ambazari lake water, and Sonegaon lake water, and the results were compared to concrete created with potable water in terms of mechanical and durability aspects. The purpose of this experiment is to determine how impurities in surface water.

    Performance assessment of concrete produced using different types of surface water

    Nitin U.Thakare, Avinash N.Shrikhande

    Performance assessment of concrete

  • An Application of Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV Prof.Vishal Shinde, Miss.Sneha Shet, Miss.Sneha Chauhan, Miss.Suryanjali Verma

    Object Detection & Tracking System (ODTS) is combined with a popular deep learning network which is known as Faster RCNN (Faster Regional Convolution Neural Network), for Detecting the Object and Conventional Tracking of objects an algorithm is introduced and is applied for detecting and monitoring unexpected events automatically on CCTVs, the unexpected events can be Wrong-Way Driving or Stopping, Person getting out of the vehicle or Fire

    An Application of Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV

    Prof.Vishal Shinde, Miss.Sneha Shet, Miss.Sneha Chauhan, Miss.Suryanjali Verma

    An Application of Deep Learning Algorithm

  • Applications of Machine Learning in The Field of Medical Care Prof. Swapnil Wani, Mr.Dipak Bochkari, Mr.Vivek Alaspure, Mr.Tushar Thube

    These years, with ML and AI becoming the hotspot of research, several applications have come forth in each of these areas. It exists as a kind of academic frontier as well as something close to our life. In this trend, the combination of both medical field and machine learning become more emerging. This research paper proposes the idea which remarkably reduced the existing situation of unbalanced medical distribution and resources strain

    Applications of Machine Learning in The Field of Medical Care

    Prof. Swapnil Wani, Mr.Dipak Bochkari, Mr.Vivek Alaspure, Mr.Tushar Thube

    Applications of Machine Learning in The Field

  • Alzeimer Disease Prediction Using Machine Learning Algorithms Prof. Satish Manje, Miss.Chetana Vishe, Miss.Niharika Dhanik, Miss.Namita Sonavane

    Alzheimer's complaint is the one amongst neurodegenerative diseases. This complaint is a grueling bone because there's no treatment for the complaint. Opinion of the complaint is done but that too at the after stage only. Therefore if the complaint is prognosticated before, the progression of the symptoms of the complaint can be braked down. This paper uses machine literacy algorithms to prognosticate Alzheimer's complaints using cerebral parameters

    Alzeimer Disease Prediction Using Machine Learning Algorithms

    Prof. Satish Manje, Miss.Chetana Vishe, Miss.Niharika Dhanik, Miss.Namita Sonavane

    Alzeimer Disease Prediction Using Machine Learning

  • Design of a restaurant billing system and data billing synchronization between branches Prof. Swapnil Wani, Mr,Shubham Vekhande, Mr.Sudhir Guntha, Mr.Saurabh Jain

    In recent years, the restaurant industry has been one of the most well-known and in-demand industries. E-Bill Resto is a restaurant billing system that was created by collaborating with a number of selling locations/restaurants under the same brand name, all of which are linked to the main firm via a database server. All revenue from restaurant sales may be tracked in real time with an integrated system

    Design of a restaurant billing system and data billing synchronization between branches

    Prof. Swapnil Wani, Mr,Shubham Vekhande, Mr.Sudhir Guntha, Mr.Saurabh Jain

    Design of a restaurant billing system

  • Location Prediction On Twitter Using Machine Learning Techniques Prof.Swapnil Wani, Mr.Shashank Barve, Mr.Prathamesh Khedekar, Mr.Ankit Yadav

    This project predicts the position of a user from the text content of a tweet by applying machine learning methods like Support Vector Machine, Naive Bayes, & Decision Tree. These days, predicting location of a user from various social media sites requires extensive research. For decades, researchers have been researching the automatic detection of places associated with or most relevant to records. As a most visited social networking site

    Location Prediction On Twitter Using Machine Learning Techniques

    Prof.Swapnil Wani, Mr.Shashank Barve, Mr.Prathamesh Khedekar, Mr.Ankit Yadav

    Location Prediction On Twitter Using Machine

  • Provably Secure and Light Weight Identification Based Data Sharing Protocol in Cloud Environment Prof.Vishal Shinde, Mr. Rushabh Baranwal, Mr. Vignesh Elagandula, Mr. Shubham Tripathi

    In a cyber-physical cloud context, Share and store files that is both secure and efficient via authorized physical devices remains a challenge, especially given the variety of devices to obtain access to the service and data. As a result, we describe a lightweight identity-based authenticated data sharing protocol in this work, which allows for safe data exchange among geographically separated objects and clients

    Provably Secure and Light Weight Identification Based Data Sharing Protocol in Cloud Environment

    Prof.Vishal Shinde, Mr. Rushabh Baranwal, Mr. Vignesh Elagandula, Mr. Shubham Tripathi

    Provably Secure and Light Weight Identification

  • Arduino Based Voice Control Robot with Lazer Security Prof. Satish Manje, Mr.Atul Yadav, Mr.Abhishek Shinde, Mr.Bipin Yadav

    This study present how a robot responds to voice input. This paper illustrates how a robot interacts with a human by responding to voice commands. This system is quite quick. The first portion of this system is a voice recognition system, followed by a central controller system, and finally a robot. The employment of robots in today's world has spread from industries to everyday life. A healthy interface between people and robotics is critical

    Arduino Based Voice Control Robot with Lazer Security

    Prof. Satish Manje, Mr.Atul Yadav, Mr.Abhishek Shinde, Mr.Bipin Yadav

    Arduino Based Voice Control Robot

  • Analysis of Machine Learning Classifiers for Breast Cancer Diagnosis Prof. Satish Manje, Mr.Sainathreddy Bonthu, Mr.Arun Elavarasan, Mr.Aniket Gupta

    Breast cancer is a form of cancer which originates in breasts of women. Cancer is caused by uncontrolled cell division or expansion. Breast cancer cells usually form a tumor that can be seen on an X-ray. Breast cancer has become one of the most well-known illnesses among women, resulting in the death of the most prevalent malignancies in women. Early treatment helps to cure malignant growth and prevent its recurrence

    Analysis of Machine Learning Classifiers for Breast Cancer Diagnosis

    Prof. Satish Manje, Mr.Sainathreddy Bonthu, Mr.Arun Elavarasan, Mr.Aniket Gupta

    Analysis of Machine Learning Classifiers

  • Implementation of Machine Learning Algorithm on Factors Effecting Divorce Rate Prof. Swapnil Wani, Mr.Soham Patil, Miss.Viral Jangale, Miss.Mayuri Baviskar

    As the number of marriages are growing, so does the amount of detachment and separation. The major factors that prompt separation can be numerous, and machine performed different computations to determine how to characterize the variables. The amount of separation can be reduced by this project as this will consists of possible factors leading to divorce. A sample data set has some main features that cause divorce

    Implementation of Machine Learning Algorithm on Factors Effecting Divorce Rate

    Prof. Swapnil Wani, Mr.Soham Patil, Miss.Viral Jangale, Miss.Mayuri Baviskar

    Implementation of Machine Learning Algorithm

  • House Price Prediction System Using Machine Learning Prof. Gayatri Naik, Master.Dhruv Patil, Master.Rohit Kore, Miss.Priti Ingale

    With the help of Python modules, this paper gives an overview of how to predict house expenses using various regression models. The proposed technique took into accountthe more refined components of the property price calculation and offered a more accurate projection. It also goes over the many graphical and numerical techniques that will be used to predict the price of a home. This paper explains what a machine learning-based house

    House Price Prediction System Using Machine Learning

    Prof. Gayatri Naik, Master.Dhruv Patil, Master.Rohit Kore, Miss.Priti Ingale

    House Price Prediction System Using Machine Learning

  • Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques Prof. Gayatri Naik, Mr. Sushant Wani, Mr. Rushikesh Pawar, Mr. Rohan Randhir

    Social networking is getting increasingly popular these days. On tourism websites, millions of users evaluate and rate tourist attractions every day. These reviews may be subjected to sentiment analysis, which will aid in determining the popularity of tourism destinations. A ML approach was used to implement sentiment analysis in this research The information came from a number of different travel review websites. The feature extraction techniques

    Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques

    Prof. Gayatri Naik, Mr. Sushant Wani, Mr. Rushikesh Pawar, Mr. Rohan Randhir

    Tourist Place Reviews Sentiment Classification

  • Machine Learning for Web Vulnerability Detection:The Case of Cross-Site Request Forgery Prof.Kanchan Umavane, Mr. Kunal Jain, Prathamesh Vishwakarma, Manoj Verma

    In this research, author present an approach for detecting web application vulnerabilities using Machine Learning (ML). Due to their diversity and broad use of bespoke programming approaches, web applications are particularly difficult to analyses. As a result, machine learning highly valuable in web security: It might blend human understanding of web app semantics into mechanized analysis techniques using manually explained data

    Machine Learning for Web Vulnerability Detection:The Case of Cross-Site Request Forgery

    Prof.Kanchan Umavane, Mr. Kunal Jain, Prathamesh Vishwakarma, Manoj Verma

    Machine Learning for Web Vulnerability

  • A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing Prof. Kanchan Umavane, Miss. Nidhi Sharma, Miss. Vrushali Gadhari, Miss.Vedangi Pawar, Mr. S Mohd Huzaifa

    the widespread cloud computing technology, smart phones may now store and access personal information from any location at any time. Consequently, the database security issue in mobile cloud is becoming increasingly serious, impeding the mobile phone usage is increasing cloud. There have been numerous studies undertaken to increase cloud security. However, because mobile devices have very limited processing abilities and power

    A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing

    Prof. Kanchan Umavane, Miss. Nidhi Sharma, Miss. Vrushali Gadhari, Miss.Vedangi Pawar, Mr. S Mohd Huzaifa

    A Lightweight Secure Data Sharing Scheme

  • Search Rank Fraud and Malware Detection in Google Play Prof. Vishal Shinde, Miss.Sheetal Shilwant, Miss.Akshata Potale, Mr.Prathamesh Sawant

    Fake methods of behaving in Google Play, the brilliant widely known Android software market, gasoline seek rank maltreatment and malware has been elevated in massive number. In this paper, we use framework that serves to unearths and use follows left behind, to differentiate each malware and packages uncovered to appearance rank extortion. FairPlay accomplishes greater than 95% precision in arranging great pleasant stage datasets of fake and legit apps

    Search Rank Fraud and Malware Detection in Google Play

    Prof. Vishal Shinde, Miss.Sheetal Shilwant, Miss.Akshata Potale, Mr.Prathamesh Sawant

    Search Rank Fraud and Malware Detection in Google Play

  • A Study of Blockchain Technology in Farmer's Portal Prof. Namrata Shinde, Miss.Pratima Yadav, Miss.Pranali Pashte, Miss.Ruchita Patil, Miss.Komal Awar

    Blockchain may be a methodology within which a authentication of a transaction is unbroken by betokens that of a crypto-currency. The record is maintained transversally, linking many computers during a peer to look network. Agreement, transactions, and therefore the documentation of them outline the economic system of a rustic. They set boundaries and supply security to the assets. Considering the options of blockchain

    A Study of Blockchain Technology in Farmer's Portal

    Prof. Namrata Shinde, Miss.Pratima Yadav, Miss.Pranali Pashte, Miss.Ruchita Patil, Miss.Komal Awar

    A Study of Blockchain Technology in Farmer's Portal

  • Connecting Social Media To E-Commerce Cold-Start Product Recommendation Using Microblogging Information Prof. Namrata Shinde, Miss. Pradnya Panmand, Miss. Pranjali Kapate, Miss. Aditi Hedau

    In last few years, the bounds in the middle of e-commerce and social media have become increasingly dim. Many e-commerce websites support a public login system where buyer can sign up for websites using their social website. network identity such as their Facebook or Instagram accounts. this paper prefer a new solution for a product that starts in the cold recommendation, which aims to recommend products from electronic commerce web pages

    Connecting Social Media To E-Commerce Cold-Start Product Recommendation Using Microblogging Information

    Prof. Namrata Shinde, Miss. Pradnya Panmand, Miss. Pranjali Kapate, Miss. Aditi Hedau

    Connecting Social Media To E-Commerce Cold-Start

  • Blockchain as a Platform for Secure Cloud Computing Services Prof. Vishal Shinde, Mr. Jas Verma, Miss. Mayuri Pawar, Miss. Ruchita Gaikwad

    In recent years problems associated with cyber-attacks and privacy of data have increased which is resulting in the speedy growth of Cloud Computing. Secure cloud computing services gets connected on a blockchain platform with the support of this work, which is called cloud@blockchain, which enjoy the notoriety and unchangeable side of blockchain. Cloud@blockchain designs two functions- unidentified file sharing and evaluation

    Blockchain as a Platform for Secure Cloud Computing Services

    Prof. Vishal Shinde, Mr. Jas Verma, Miss. Mayuri Pawar, Miss. Ruchita Gaikwad

    Blockchain as a Platform for Secure Cloud

  • Predicting CO2 Emission Using Machine Learning Prof. Swapnil Wani, Mr. Akash Akhilesh Yadav, Mr.Mihir Mukesh Panchal, Mr. Prashant Vinod Pandey

    The Random Forest & SVM are put forward to estimate the outlay of CO2 outpouring. Energy expenditure, such as power and coal energy, is the cause of the aggressive growth in CO2 emissions. The aim is to track co2 emissions gleaned from electrical energy and coal utilized in the manufacturing process. In setup to train and test the model, the statistics on electrical and energy were obtained

    Predicting CO2 Emission Using Machine Learning

    Prof. Swapnil Wani, Mr. Akash Akhilesh Yadav, Mr.Mihir Mukesh Panchal, Mr. Prashant Vinod Pandey

    Predicting CO2 Emission Using Machine Learning

  • Tomato Leaves Diseases Detection Using Image Processing and Deep Learning Prof.Satish Manje, Mr. Trusharth Pawar, Mr. Khan M. Waseem, Miss.Sneha Sapale

    Tomato is a very popular crop, this paper tries to solve the disease-causing problems that farmers face. This research paper attempts to eliminate the harmful side effects of chemicals and pesticides with the help of the Image Processing system. In this study, 10 different types of tomato leaf disease were diagnosed including one healthy class. Farmers can use pictures of affected tomato leaves and it will predict disease

    Tomato Leaves Diseases Detection Using Image Processing and Deep Learning

    Prof.Satish Manje, Mr. Trusharth Pawar, Mr. Khan M. Waseem, Miss.Sneha Sapale

    Tomato Leaves Diseases Detection

  • Machine Learning Algorithm for Stroke Disease Classification Prof. Vishal Shinde, Mr.Nikhil Patil, Mr.Omkar Sonar, Mr.Nishant Shedage

    Stroke is the most significant element of death as well as obesity in various countries. This study analyzes CT scan image enhancement data for stroke patients by improving image quality to improve image effects and noise reduction, and using ML algorithms to separate patient images into two subtypes of stroke i.e. ischemic stroke and stroke haemorrhage. Eight ML algorithms are operated in this study to classify stroke i.e., Naive Bayes

    Machine Learning Algorithm for Stroke Disease Classification

    Prof. Vishal Shinde, Mr.Nikhil Patil, Mr.Omkar Sonar, Mr.Nishant Shedage

    Machine Learning Algorithm for Stroke Disease Classification

  • Analysis and Prediction of Cardiovascular Disease using Machine Learning Classifiers Prof. Vishal Shinde, Mr. Hrithik Kedare, Mr. Rahul Gupta, Mr. Vinit Mahajan

    Cardiovascular disorder refers to a variety of issues that encompass narrowed or blocked veins, which can result in a heart assault, chest pain (angina), or stroke. The condition is anticipated via the gadget gaining knowledge of classifier based at the nation of the patient's facet impact. This research is used to look at the presentation of system mastering Tree Classifiers inside the prediction of Cardiovascular disorder (CVD)

    Analysis and Prediction of Cardiovascular Disease using Machine Learning Classifiers

    Prof. Vishal Shinde, Mr. Hrithik Kedare, Mr. Rahul Gupta, Mr. Vinit Mahajan

    Analysis and Prediction of Cardiovascular

  • Performance Analysis of Machine Learning Classifier for Predicting Chronic Kidney Disease Prof. Vishal Shinde, Mr. Shubham Narayan Bhoir, Mr.Zaid Irfan Khan, Mr. Mrunal Umakant Nagmoti

    In today’s life everyone has been trying to be conscious about health due to workload and busy schedule this gives attention to the health when a it shows symptoms but chronic kidney disease does not shows particular symptoms it is difficult detect and predict, to prevent this best solution prediction and analysis this problem Chronic Kidney Disease (CKD) has the type of chronic disease which means that a it happened calmly over period of specific time

    Performance Analysis of Machine Learning Classifier for Predicting Chronic Kidney Disease

    Prof. Vishal Shinde, Mr. Shubham Narayan Bhoir, Mr.Zaid Irfan Khan, Mr. Mrunal Umakant Nagmoti

    Performance Analysis of Machine Learning

  • Content Analysis of Messages in Social Networks, Identification of Suicidal Types Prof.Satish Manje, Mr.Shubham Dhawale, Mr.Acchutam Kulthe, Mr.Rohit Ghoshtekar

    This project describes a content analysis of text to spot suicidal tendencies and kinds. This article describes the way to make a sentence classifier that uses a neural network created using various libraries created for machine learning within the Python programing language. Attention is paid to the matter of teenage suicide and «groups of death in social networks, the look for ways to prevent the propaganda of suicide among minors

    Content Analysis of Messages in Social Networks, Identification of Suicidal Types

    Prof.Satish Manje, Mr.Shubham Dhawale, Mr.Acchutam Kulthe, Mr.Rohit Ghoshtekar

    Content Analysis of Messages in Social

  • Survey on Machine Learning Techniques for The Diagnosis of Liver Disease Prof. Satish Manje, Miss.Tannaz Inamdar, Miss.Shivani Kamalekar, Miss. Akanksha Shaha

    Machine Learning Algorithm focuses on building the model using sample data which is known as training of the data for making decisions or predictions. The project focuses to give a survey and providing a comparative survey of the entire ML techniques for diagnosing and predicting liver disease in Medical Areas, which are been already used for predicting liver disease by several authors, and analyses are based on Sensitivity

    Survey on Machine Learning Techniques for The Diagnosis of Liver Disease

    Prof. Satish Manje, Miss.Tannaz Inamdar, Miss.Shivani Kamalekar, Miss. Akanksha Shaha

    Survey on Machine Learning Techniques

  • Federated Data Management Aggregation Framework by using NLP Prof. Swapnil Wani, Miss.Jyoti Gupta, Miss.Namrata Kasturi, Mr.Suraj Yadav

    Given the increasing range of heterogeneous information hold on in relative databases, file systems or cloud environments, it has to be simply accessed and semantically connected for any information analysis. The potential of information federation is essentially unrealized, this paper provides associate interactive information federation system by applying large-scale techniques as well as heterogeneous information federation

    Federated Data Management Aggregation Framework by using NLP

    Prof. Swapnil Wani, Miss.Jyoti Gupta, Miss.Namrata Kasturi, Mr.Suraj Yadav

    Federated Data Management Aggregation