A Breast Cancer Diagnosis Method based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm
Aim: To detect the breast cancer using K Nearest Neighbor algorithms with the help of data mining techniques. Abstract: Breast cancer is one of the most common cancers among the women. Breast c..
A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks
Aim: We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm.Abstract: Distributed network attacks are referred to as Distributed Denial of Service (DDoS) attacks. These attacks take advantage of specific limitations t..
Automated Smart Attendance System Using Face Recognition
Aim: To detect and recognize the face using real time attendance system based on LBPH algorithm. Abstract: Face recognition can be considered one of the most successful biometric identification..
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..
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..
Comparison of Machine Learning Algorithms for Predicting Chronic Kidney Disease
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 end-stag..
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..
Evaluation based Approaches for Liver Disease Prediction using Machine Learning Algorithms
Aim: To apply machine learning techniques result in improving the accuracy in the liver disease prediction. Abstract: The life of humans living without liver tumors is one of the fun..
House Price Prediction Using Machine Learning And Neural Networks
Aim: Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. Here we aim to make our evaluations based on every basic parameter that is considered while det..
Phishing URL Detection: A Real-Case Scenario Through Login URLs
Aim: To provide an automated system for recognition the real-case Scenario through login URLsAbstract: Phishing is a social engineering cyber attack where criminals deceive users to obtain their credentials through a l..
Prediction of Modernized Loan Approval System Based on Machine learning Approach
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 major contributing parameter in the financial statements..
Predictive Analytics on Diabetes Data using Machine Learning Techniques
Aim: To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract: Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identifying process of diabetes is the glucose an..
Taxi Demand Prediction Using Parallel Multi-Task Learning Model
Aim: To predict the high demand need of pickup for taxi services based on their previous history.Synopsis: The service industry is booming for the last couple of years and it is expected to grow in the near future. One of the impo..
The Effect of Fake Reviews on e-Commerce During and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection
Aim: To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.Abstract: The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautionary me..