A Hybrid Deep Reinforcement Learning Methodology for Wearable Fall Detection Integrating Temporal Convolutional Networks Transformer and Soft Actor-Critic
- DOI
- 10.21203/rs.3.rs-10306388/v1
- Published
- 2026-08-07
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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BibTeX
@article{allodium:10.21203/rs.3.rs-10306388/v1,
title = {A Hybrid Deep Reinforcement Learning Methodology for Wearable Fall Detection Integrating Temporal Convolutional Networks Transformer and Soft Actor-Critic},
author = {samireh mahmudnezhad and Amin Babazadeh Sangar and Kambiz Majidzadeh},
year = {2026},
doi = {10.21203/rs.3.rs-10306388/v1},
url = {https://doi.org/10.21203/rs.3.rs-10306388/v1}
}RIS
TY - JOUR TI - A Hybrid Deep Reinforcement Learning Methodology for Wearable Fall Detection Integrating Temporal Convolutional Networks Transformer and Soft Actor-Critic AU - samireh mahmudnezhad AU - Amin Babazadeh Sangar AU - Kambiz Majidzadeh PY - 2026 DO - 10.21203/rs.3.rs-10306388/v1 UR - https://doi.org/10.21203/rs.3.rs-10306388/v1 ER -
APA
mahmudnezhad, S., Sangar, A. B., & Majidzadeh, K. (2026). A Hybrid Deep Reinforcement Learning Methodology for Wearable Fall Detection Integrating Temporal Convolutional Networks Transformer and Soft Actor-Critic. https://doi.org/10.21203/rs.3.rs-10306388/v1
Source records
- crossref · retrieved 2026-09-26T03:34:28.728Z