Python
Traffic Signs Recognition using CNN and Keras
Transchain: Blockchain-Based Management of Allografts for Enhancing Data Provenance
Aim:
The aim of this project is to develop a secure, transparent, and tamper-proof blockchain-based system for managing allografts throughout their entire lifecycle—from donor registration to tissue processing, storage, distribution, and transplantation. The system seeks to ensure authenticity, complete data provenance, regulatory compliance, and real-time traceability by leveraging decentralized ledgers, smart contracts, and digital tagging technologies. This helps enhance patient safety, reduce fraud, and build trust among medical institutions and regulatory authorities.
Transfer Learning Strategies for Credit Card Fraud Detection
Tree-Based Personalized Clustered Federated Learning A Driver Stress Monitoring Through Physiological Data Case Study
Aim:
The aim of this study is to develop a privacy-preserving and personalized driver stress monitoring system using a Tree-Based Personalized Clustered Federated Learning (TPCFL) approach, which effectively addresses the challenges of non-IID physiological data by grouping drivers based on similarities in their data characteristics, optimizing cluster selection, and enabling accurate stress detection for both existing and new unlabeled drivers without compromising sensitive information.
Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model
Uncertain Facial Expression Recognition via Multi-Task Assisted Correction
Understanding the Security Risks of Websites Using Cloud Storage for Direct User File Uploads
Wearable IoT Life Jacket: Utilizing LoRa Technology to Combat Hypothermia
Whale and Dolphin Classification
WIPE: A Novel Web-Based Intelligent Packaging Evaluation via Machine Learning and Association Mining
