A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition
arXiv 2610.23941v1•da42ac5ef25a0a7d18a29078c707d47fc4f07dbec2990af366d681d1914a1f27
Paper metadata
- arXiv ID
- 2610.23941
- Version
- v1
- Category
- cs.AI, cs.LG, eess.SP
- Authors
- Wahyu Pebrianto
- Publication date
- 2026-10-20T04:00:00Z
- Source identifier
- 2610.23941v1
- Public record ID
- record:sha256:da42ac5ef25a0a7d18a29078c707d47fc4f07dbec2990af366d681d1914a1f27
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- da42ac5ef25a0a7d18a29078c707d47fc4f07dbec2990af366d681d1914a1f27
- Record type
- Source metadata
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