Python
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 Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities
A Deep-Learning-Based Lightweight Model for Ship Localizations in SAR Images
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks
A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems
A Novel Approach Based on Quantum Key Distribution Using BB84 and E91 Protocol for Resilient Encryption and Eavesdropper Detection
Aim:
To implement a secure, interactive, and educational Quantum Key Distribution (QKD) system using the SARG04 algorithm simulated with Qiskit and deployed as a full-stack web application (Flask + React + MySQL) for demonstrating real-time quantum key sharing and eavesdropper detection between Alice, Bob, and Eve.
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 Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification
