Improving Performance Classification in Wireless Body Area Sensor Networks Based on Machine Learning Techniques
Wireless Body Area Sensor Networks (WBASNs) have garnered significant attention due to the implementation of self-automaton and modern technologies. Within the healthcare WBASN, certain sensed data hold greater significance than others in light of their critical aspect. Such vital data must be give...
Saved in:
Main Authors: | Sabreen Waheed Kadhum, Mohammed Ali Tawfeeq |
---|---|
Format: | Article |
Language: | Arabic |
Published: |
Mustansiriyah University/College of Engineering
2025-01-01
|
Series: | Journal of Engineering and Sustainable Development |
Subjects: | |
Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/2491 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System
by: Michael Olumuyiwa Adio, et al.
Published: (2024-05-01) -
Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions
by: Ke-Lin Du, et al.
Published: (2024-12-01) -
Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset
by: Omid Kohandel Gargari, et al.
Published: (2025-02-01) -
Machine Learning Techniques for Classification of Stress Levels in Traffic
by: Amanda Trojan Fenerich, et al.
Published: (2024-06-01) -
Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study
by: Yan Tong, et al.
Published: (2024-12-01)