Python
Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish
Enhancing Road Safety: Detection of Animals on Highways During Night
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
Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers
Evolving Malware and DDoS Attacks: Decadal Longitudinal Study
Face Detection and Recognition for Criminal Identification System
Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices
Facial Expression Recognition in the Wild Using Face Graph and Attention
Facilitating Leucocyte Count Using Deep Learning A Paradigm Shift
Fairness-Oriented Charging Station Location Optimization Driven by Deep Reinforcement Learning
Aim:
The aim of this project is to develop a fairness-oriented EV charging station location optimization framework using geospatial analytics and deep reinforcement learning. It integrates population density, POI distribution, and spatial coverage to identify high-impact candidate sites. The system ensures region-balanced accessibility while maximizing demand-weighted service coverage.
Flexible Paths: A Path Planning Approach to Dynamic Navigation
