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Checking Only When It Is Necessary: Enabling Integrity Auditing Based on the Keyword with Sensitive Information Privacy for Encrypted Cloud Data


Aim :         The main aim of this project is to provide a reliable and secure cloud service and also increase trustworthiness of files uploaded in cloud by Continuous Automatic Auditing.­­Abstract:          Cloud Computing enables the remote users to access data, servi..

Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach


Aim:           Massive adoption of mobile money in countries, the global transaction value of   mobile money exceeded $2 billion in 2021. Projections show transaction values will exceed $3 billion by the end of 2022, Spammers use Smishing (SMS Phishing) messages to trick a mobile money use..

Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening


Aim:          To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease.Abstract:       Chronic kidney disease (CKD) is the serious medical condition where the kidneys are damaged and blood cannot be filtered. In the en..

Coding-Based Low-Power Through-Silicon-Via Redundancy Schemes for Heterogeneous 3-D SoCs


Synopsis          Three dimensional integration is one of the promising solutions to check the bare 3D integrated circuits before utilizing in the applications. In the existing system design of an heterogeneous architecture is being evaluated using low power silicon redundancy schemes. The technique is b..

Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms


Aim:          To determine the loan approval system using machine learning algorithms.Abstract:            Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a ma..

Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines


Aim:           This paper aim to detect Driver Drowsiness Detection by using support Vector Machines.Abstract:      Driver drowsiness is a serious threat to road safety. Most driver monitoring systems (DMSs) already embedded in vehicles to detect drowsiness use vehicle-based feat..

Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques


Aim:              To systematically compare and evaluate the performance of various regression techniques for Air Quality prediction in smart cities, aiming to identify the most effective model that can contribute to accurate and timely forecasting. Description:      &n..

Convolution neural network based enhanced computerized Technique for brain tumour detection


Aim:            To detect and identify the Brain Tumor using Deep-Learning techniquesSynopsis:           Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. ..

Cost-Effectively Searchable Blackbox Data with Unlinkability Based on Public Blockchain


Aim:         The aim of this project is to propose a novel approach to create a cost-effective and searchable blackbox data storage system utilizing blockchain technology.Abstract:             A blackbox data can be used to identify the cause of an a..

Covid-19 Classification and Detection Model using Deep Learning


Aim:            To detect the COVID-19 using x-ray images by using Convolutional neural networkAbstract:            The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world..

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms


Aim:           People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial losses for both credit card holders..

Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers


Aim:         Predict the crop recommendation for a agriculture environment using machine learning technique and also using various feature selection techniques and classifiers.Abstract:         Agriculture is a growing field of research. In particular, crop prediction i..

Crop Yield Prediction based on Indian Agriculture using Machine Learning


Aim:          To be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters.Abstract          India is the land of agriculture and it is the major source of economy.70% of Ind..

Crop Yield Prediction Using Random Forest Algorithm


Aim:               Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract              India is the land of agriculture and it is the major source of economy. 70% of..

Crypt Cloud+: Secure and Expressive Data Access Control for Cloud Storage


Aim:The main aim of this project is to provide integrity of an organization data which is in public cloud.Synopsis:Data owners will store their data in public cloud along with encryption and particular set of attributes to access control on the cloud data. While uploading the data into public cloud they will assign some attribute set to their ..

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