AI-based techniques on edge devices to optimize energy efficiency in m-Health applications
- 1 January 2020
- book chapter
- Published by Elsevier BV
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- An efficient data reduction method and its application to cluster analysisNeurocomputing, 2017
- Deep Learning for Health InformaticsIEEE Journal of Biomedical and Health Informatics, 2016
- Big Data Reduction Methods: A SurveyData Science and Engineering, 2016
- Big forensic data reduction: digital forensic images and electronic evidenceCluster Computing, 2016
- A data reduction method in formal fuzzy contextsInternational Journal of Machine Learning and Cybernetics, 2016
- Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor networkBiomedical Signal Processing and Control, 2015