Exploring the Contribution of Joint Angles and sEMG Signals on Joint Torque Prediction Accuracy using LSTM-Based Deep Learning Techniques
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, cilt.28, sa.13, ss.1-10, 2024 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 28 Sayı: 13
- Basım Tarihi: 2024
- Doi Numarası: 10.1080/10255842.2024.2400318
- Dergi Adı: COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Biotechnology Research Abstracts, Compendex, EMBASE, INSPEC, MEDLINE
- Sayfa Sayıları: ss.1-10
- Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet