Browsing Faculty Contributions by Title
Now showing items 6084-6103 of 17691
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Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators
( Frontiers Media S.A. , 2022 , Article)The paper observes the dependence of the main macroeconomic indicators in developing countries from the change in world prices for crude oil. We analyzed a system of simultaneous equations, which makes it possible to verify ... -
Energy Theft Detection Using the Wasserstein Distance on Residuals
( IEEE Explore , 2023 , Conference Paper)Detection of electricity theft improves the sustainability of the smart grid, helps electrical utilities mitigate their financial risks, and improves the overall management of resources. In this work, we utilize an LSTM ... -
Energy transition in Saudi Arabia: Giant leap or necessary adjustment for a large carbon economy?
( Elsevier , 2022 , Conference Paper)Since 2016 and guided by the National Vision 2030, the energy transition in Saudi Arabia has gained significant momentum. There have been important energy subsidy reforms and dynamic developments in the renewable energy ... -
Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The aerial capabilities and flexibility in movement of Unmanned Aerial Vehicles (UAVs) has enabled them to adaptively provide both traditional and more contemporary services. In this article, we introduce a solution that ... -
Energy-Aware Cooperative Wireless Networks with Multiple Cognitive Users
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we study and analyze cooperative cognitive radio networks with arbitrary number of secondary users (SUs). Each SU is considered a prospective relay for the primary user (PU) besides having its own data ... -
Energy-aware cross-layer optimization for EEG-based wireless monitoring applications
( IEEE Computer Society , 2013 , Conference Paper)Body Area Sensor Networks (BASNs) for healthcare applications have gained significant research interests recently due to the growing number of patients with chronic diseases requiring constant monitoring. Because of the ... -
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
( 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 ... -
Energy-aware joint power, packet and topology optimization by simulated annealing for WSNs
(2013 , Conference Paper)Energy-aware connectivity in wireless sensor networks (WSNs) can increase their network lifetime. This can be achieved by optimizing the power control, a particular communication mechanism and the topology control. To this ... -
Energy-aware rate and description allocation optimized video streaming for mobile D2D communications
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The proliferation problem of video streaming applications and mobile devices has prompted wireless network operators to put more efforts into improving quality of experience (QoE) while saving resources that are needed for ... -
An energy-balanced trust cloud migration scheme for underwater acoustic sensor networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)As a candidate trust management scheme, trust models based on the cloud theory are always taken into account when detecting malicious attacks in Underwater Acoustic Sensor Networks (UASNs). To evaluate the trust values of ... -
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 ... -
Energy-efficient based on cluster selection and trust management in cooperative spectrum sensing
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Cooperative spectrum sensing (CSS) has been proposed as a solution for radio spectrum resources scarcity problem. Clustering technique is introduced to increase the performance of CSS and overcome the shadowing and fading ... -
Energy-efficient based on cluster selection and trust management in cooperative spectrum sensing
( IEEE , 2016 , Conference Paper)Cooperative spectrum sensing (CSS) has been proposed as a solution for radio spectrum resources scarcity problem. Clustering technique is introduced to increase the performance of CSS and overcome the shadowing and fading ... -
Energy-efficient cloud resource management
( IEEE , 2014 , Conference Paper)We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, ... -
Energy-efficient cooperative cognitive relaying schemes for cognitive radio networks
( Elsevier B.V. , 2018 , Article)We investigate a cognitive radio network in which a primary user (PU) may cooperate with a cognitive radio user (i.e., a secondary user (SU)) for transmissions of its data packets. The PU is assumed to be a buffered node ... -
Energy-efficient cooperative relaying protocol for full-duplex cognitive radio users and delay-aware primary users
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper considers a network in which a primary user (PU) may cooperate with a cognitive radio (CR) user for transmission of its data packets. The PU is assumed to be a buffered terminal operating in a time-slotted ... -
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ... -
An Energy-Efficient In-Network Computing Paradigm for 6G
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In the 6G network era, energy-efficient computing means higher resource utilization and lower energy consumption. The traditional computing model regards the network as a transmission pipeline and has not fully explored ... -
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 ... -
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ...