Active Learning-Enhanced Deep Ensemble Framework for Human Activity Recognition Using Spatio-Textural Features
Human Activity Recognition (HAR) has become increasingly critical in civic surveillance, medical care monitoring, and institutional protection. Current deep learning-based approaches often suffer from excessive computational ... | Find, read and cite all the research you need on Tech Science Press
Authors
- R. Ragupathy
- Lakshmi Alekhya Jandhyam (ORCID: https://orcid.org/0000-0001-9880-7336)
- Narayana Satyala
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.068941
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00