Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers
Summary
Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers is a scholarly article[1].
Key Facts
Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers
MLA“Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers.
BibTeX@misc{4ortxyz_hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers — https://4ort.xyz/entity/hybrid-deep-learning-for-human-fall-detection-a-synergistic-approach-using-yolov8-and-time-space-transformers (retrieved 2026-05-24)
