MSBA-LSTM: a multi-scale bidirectional attention long short-term memory network for early risk prediction from multimodal wearable sensor time-series data in sports

TingTing Chen; GuiQuan Huo

doi:10.1007/s44443-026-00943-9

10.1007/s44443-026-00943-9 395 المشاهدات 0 الاقتباسات

الاقتباسات

395

المشاهدات

الملخص غير متوفر لهذا المنشور.

الاستشهاد بهذا المقال (APA)

TingTing, C., GuiQuan, H. (2026). MSBA-LSTM: a multi-scale bidirectional attention long short-term memory network for early risk prediction from multimodal wearable sensor time-series data in sports. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00943-9

Zhizhong Xing; Leping Li; Ying Yang; Wei Zhou; Guolan Ma; Shaochun Chen; Lechun · 2026

استشهاد

424

DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments

Minqiu Kuang; Xuejie Zou; Fangping Xie; Xiaojian Li; Shang Chen; Dawei Liu; Yuxu · 2026

استشهاد

430

Information guided Levy flight for robot search in unknown environments

Weitao Zhao; Zati Hakim Azizul; Xin Lyu; Weijie Kuang · 2026

استشهاد

411

SemCap: Sentiment-aware semantic captioning for multimodal aspect-based sentiment analysis