Python
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
Fraud Detection in Banking Data by Machine Learning Technique
GreenLand: A Secure Land Registration Scheme for Blockchain and AI-Enabled Agriculture Industry 5.0
Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network
Heterogeneous Data Storage Management with Deduplication in Cloud Computing
House Price Prediction Using Machine Learning And Neural Networks
Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks
Hydroponic Power plant Monitoring Robot With Obstacles Detection
Aim:
The aim of this project is to develop an autonomous robot for monitoring hydroponic power plants using line-following navigation and environmental sensors. The robot detects obstacles, identifies objects with an ESP32-CAM, and updates data to Firebase for real-time monitoring. It provides an efficient and sustainable solution for automating hydroponic farming operations
Hyphatia: A Card-Not-Present Fraud Detection System Based on Self-Supervised Tabular Learning
Aim:
To develop a fraud-detection system that learns patterns directly from transaction data without relying on labels. Captures differences between legitimate and fraudulent activity using an unsupervised representation-learning approach. It improve fraud-spotting accuracy by training simple classifiers on these learned representations instead of raw features.