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Energy-cost-distortion optimization for delay-sensitive M-health applications
(
IEEE Computer Society
, 2015 , Conference Paper)
Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data to provide the scalability needed ...
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ...
Low complexity target coverage heuristics using mobile cameras
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Wireless sensor and actuator networks have been extensively deployed for enhancing industrial control processes and supply-chains, and many forms of surveillance and environmental monitoring. The availability of low-cost ...
Energy efficient mobile relay selection for two-hop wireless networks
(
IEEE Computer Society
, 2014 , Conference Paper)
In this paper, we propose a relay selection strategy for randomly distributed multiple relays. A single relay is selected for transmitting signal from a fixed source to a fixed destination which requires minimum total ...
Weighted Trustworthiness for ML Based Attacks Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Recently, machine learning techniques are gaining a lot of interest in security applications as they exhibit fast processing with real-time predictions. One of the significant challenges in the implementation of these ...
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...
Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...
CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems
(
IEEE Computer Society
, 2021 , Conference Paper)
The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. ...
Deep learning and low rank dictionary model for mHealth data classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ...
On the joint scheduling and intra-cell interference coordination in multi-relay LTE uplink
(
IEEE
, 2012 , Conference Paper)
The relay-assisted Long Term Evaluation (LTE) cellular system is one of the most promising technologies to enhance the throughput and coverage of the access network. Injection of relays in a cell opens many issues of ...