Python
E-Commerce Fraud Detection Using Generated Data From BANKSIM Using Machine Learning
E-commerce Products Image Classification using EfficientNetB5 with Transfer Learning
Edge Fire Smoke A novel lightweight cnn model for Real Time video Fire smoke Detection
Efficient Classification Of Diabetic Retinopathy Using Binary Cnn
Efficient Machine Learning Approach For Crime Detection In India
The goal of this project is to create a reliable model for predicting droughts in regions that are vulnerable to them. Using Indian rainfall data, the project applies ARIMA and SARIMAX models to forecast droughts. The project aims to support better planning and response strategies, helping communities prepare for and mitigate the effects of droughts.
Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish
Enabling Ternary Hash Tree based Integrity Verification for Secure Cloud Data Storage
Enhancing Medical Education through interactive AR
Enhancing Smishing Detection A Deep Learning Approach for Improved Accuracy and Reduced False Positives
The aim of this work is to explore and develop advanced methods for enhancing the detection and prevention of smishing attacks. This involves utilizing cutting-edge technologies such as machine learning, artificial intelligence, and behavioral analysis to identify and block fraudulent SMS messages, protecting users from financial and personal data theft. The goal is to create more effective, real-time detection systems to mitigate the growing threat of smishing attack
Ephemeral Secret Leakage-Free ID-Role-Based Access Control Authentication and Key Exchange Protocol for Securing Electric Vehicle Data
Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers
