Python
A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning with Explainable AI
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
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 and financial companies. The main aim is to detect fraudulent transactions using credit cards with the help of ML algorithms and deep learning algorithms.
A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images
A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning
A Pragmatic Approach of Heart and Liver Disease Prediction using Machine Learning Classifiers
A Web-Based Interface That Leverages Machine Learning to Assess an Individual’s Vulnerability to Brain Stroke
Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.
Advanced Heart Attack Risk Prediction Using Stacked Hybrid Machine Learning
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
Agricultural Loan Recommender System – A Machine Learning Approach
ANALYSIS OF CHRONIC LIVER DISEASE DETECTION BY USING MACHINE LEARNING TECHNIQUES
Application of IoT and Artificial Intelligence in Road Safety
Embedded, Artificial Intelligence(AI), Internet of Things(IoT), Artificial Intelligence, IoT, Machine Learning