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..

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..

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..

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..

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..

Aim:                To detect and identify the Brain Tumor using Deep-Learning techniques.Abstract:               Medical image processing is that the one among the foremost demanding and promising field nowada..

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..

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..

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..

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..

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..

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..

Aim:             To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis:             Social networking sites have become very popular in recent years. Users use them to find new frie..

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 Identif..

Aim:           To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract:            Heart disease is one of the most significant problem is arising in the world today. Cardiovascu..