Fusing CNNs and Attention-Mechanisms to Improve Real-Time Indoor Human Activity Recognition for Classifying Home-based Physical Rehabilitation Exercises
Jan 16, 2025
Enhancing Road Safety: Leveraging CNN-LSTM and Bi-LSTM Models for Advanced Driver Behavior Detection
Sep 5, 2024
Enhancing Physical Therapy Through Transformer-Based Models: A Study on Exercise Classification
Sep 5, 2024
Enhancing Brain Tumor Classification: A Comparative Study of Single-Model and Multi-Model Fusion Approaches
Sep 5, 2024
Successfully Defended Master's Thesis 🎉
I am thrilled to announce that I have successfully defended the my master’s thesis. My thesis explores the application of Human Activity Recognition (HAR) in the context of physical rehabilitation exercises, aiming to provide real-time feedback and assessment.
Jul 31, 2024
Successfully Passed the Pre-defense Seminar for My Master's Thesis 🎉
A summary of my master's thesis on Human Activity Recognition in physical rehabilitation exercises.
Jun 6, 2024
Artificial Intelligence Techniques in Enhancing Home-Based Rehabilitation: A Survey
May 22, 2024
Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets
Citations This is my top-cited paper with 9 citations. Cited by others Mengmeng Wang (2025). Applications of deep learning techniques for predicting dynamic service location enhanced scheduling algorithm in foggy computing environment.
Apr 12, 2024
A Robust Ensemble Deep Learning Approach for Breast Cancer Diagnosis
Citations The paper has 5 citations: Manalı, D., Demirel, H., & Eleyan, A. (2024). Deep Learning Based Breast Cancer Detection Using Decision Fusion. Computers. Makram, Manal, and Ammar Mohammed. (2024). Deep learning approach for hepatic lesion detection.
Jul 15, 2023