BGL-PhishNet: Phishing Website Detection Using Hybrid Model-BERT, GNN, and LightGBM

5,500.00
Aim: This study aims to develop an efficient and scalable system for multi-class classification of URLs into Phishing, Benign, Defacement, and Malware categories using the lightweight and context-aware DistilBERT model.

Coffee Bean Defects Automatic Classification Realtime Application Adopting Deep Learning

5,500.00
Aim: The aim of this project is to propose an efficient, real-time system for automatic classification of coffee bean defects using the YOLOv8 deep learning model.

Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To develop a high-accuracy breast cancer classification system using an optimized Support Vector Classifier integrated with preprocessing and feature selection techniques.