Deep learning-based dynamic prediction of physical energy expenditure and training intensity optimization system for university sports training

Abstract Accurate estimation of physical energy expenditure (EE) is essential for optimizing training intensity and preventing overexertion in university sports programs. Existing EE prediction models fail to account for individual physiological modifications and the dynamic relationship between mul...

Täydet tiedot

Bibliografiset tiedot

Päätekijä:	Zhichen Song
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2026-04-01
Sarja:	Discover Artificial Intelligence
Aiheet:	Training intensity University sports training Physiological signals Energy expenditure (EE) Improved long short-term memory (ILSTM)
Linkit:	https://doi.org/10.1007/s44163-026-01320-1
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