A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection

5,500.00
Aim: People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.Ā  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 and financial companies. The main aim is to detect fraudulent transactions using credit cards with the help of ML algorithms and deep learning algorithms.

Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy

5,500.00
Aim: The primary aim of this study is to develop a robust and accurate auxiliary diagnostic system for breast cancer by integrating machine learning techniques with a hybrid strategy.

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

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease. Abstract:

Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  To determine the customer loan approval system using machine learning algorithms. Abstract: Ā Ā Ā Ā Ā  Loan approval is a very

Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To ease the process of attendance during online classes and to prevent malpractice during online assessments. Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm

5,500.00
Aim: Ā Ā Ā Ā Ā Ā  This study aims to improve the accuracy of spam email detection by leveraging a hybrid approach employing the

Loan Status Prediction in the Banking Sector using Machine Learning

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To determine the customer loan approval system using machine learning algorithms. Abstract: Ā Ā Ā Ā Ā Ā  Ā  Loan approval is a

Plant Disease Detection Using Machine Learning Techniques

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed a complete systematic approach to detect Plant disease using Machine Learning algorithm. Ā Abstract: Ā Ā Ā Ā Ā Ā Ā  This paper

Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques

5,500.00
Aim: This study develops a machine learning model to classify heart disease into different severity levels. It analyzes patient data to improve diagnostic accuracy and support medical decisions.

The Effect of Fake Reviews on e-Commerce during and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.

Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm

5,500.00
Aim: The primary aim of this study is to develop a robust and accurate auxiliary diagnostic system for breast cancer by integrating machine learning techniques with a hybrid strategy.