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Power control and group proportional fairness for frequency domain resource allocation in L-SC-FDMA based LTE uplink
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Kluwer Academic Publishers
, 2015 , Article)
Resource allocation in Long Term Evaluation (LTE) uplink is challenging because of two reasons: (1) it requires contiguous resource block allocation and (2) high complexity due to per user based power allocation among ...
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach
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Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Athletes represent the apex of physical capacity filling in a social picture of performance and build. In light of the fundamental contrasts in athletic capacities required for different games, each game demands an alternate ...
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ...
SsHealth: Toward secure, blockchain-enabled healthcare systems
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The future of healthcare systems is being shaped by incorporating emerged technological innovations to drive new models for patient care. By acquiring, integrating, analyzing, and exchanging medical data at different system ...
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
(
IEEE Computer Society
, 2022 , Article)
Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ...
Machine Learning Based Cloud Computing Anomalies Detection
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Recently, machine learning algorithms have been proposed to design new security systems for anomalies detection as they exhibit fast processing with real-time predictions. However, one of the major challenges in machine ...
Service-Less Video Multicast in 5G: Enablers and Challenges
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The massive upsurge in production and demand of crowdsourced live streaming necessitates feasible and cost effective solutions in future cellular networks. Video multicast is one of the viable options to deliver live video ...
Spatiotemporal data mining: a survey on challenges and open problems
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Springer Science and Business Media B.V.
, 2022 , Article)
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, ...
Wireless body area sensor networks signal processing and communication framework: Survey on sensing, communication technologies, delivery and feedback
(
Science Publication
, 2012 , Article)
Problem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. ...
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...