تصفح Electrical Engineering حسب العنوان
السجلات المعروضة 2015 -- 2034 من 2466
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Reduced switch count-based N-level boost inverter topology for higher voltage gain
( Institution of Engineering and Technology , 2020 , Article)This study proposes a new boost inverter based on a switched-capacitor concept with reduced switch count. The basic unit is a five-level topology, which inherently generates the AC output voltage with the self-voltage ... -
Reduced-complexity sparsity-aware joint phase noise mitigation and channel equalization in OFDM receivers
( Elsevier B.V. , 2018 , Article)A major performance and complexity limitation in direct-conversion broadband wireless transceivers is the phase noise (PN) resulting from the inevitable imperfections in the fabrication process of the crystal oscillator. ... -
Reducing data center energy consumption through peak shaving and locked-in energy avoidance
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)The grid company enforces high penalties for the peak power demands of cloud data centers. These penalties result in high electricity bills that can be avoided by relying on the servers' uninterruptible power supply (UPS) ... -
Reed-Solomon coding for cooperative wireless communication
( IEEE , 2010 , Conference Paper)During the last few years, several authors have studied the performance of many different types of channel codes for cooperative communication systems. Some of these codes include Low Density Parity Check (LDPC), Turbo and ... -
Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The utility of EEG-fMRI is limited by the large artefact voltages produced in EEG recordings made during concurrent fMRI. Novel approaches for reducing the magnitude and variability of the artefacts are, therefore, required. ... -
Refining the ambiguity domain characteristics of non-stationary signals for improved time–frequency analysis: Test case of multidirectional and multicomponent piecewise LFM and HFM signals
( Elsevier Inc. , 2018 , Article)This paper aims at providing a more accurate description of the ambiguity domain characteristics of a piecewise multicomponent non-stationary signals with focus on piece-wise linear frequency modulated (LFM) (PW-LFM) signal ... -
REHAB-C: Recommendations for Energy HABits Change
( Elsevier , 2020 , Article)This paper introduces REHAB-C, a goal-based context-aware recommendation system that supports users in transforming their energy habits. A combination of smart sensors and actuators collects information about user actions ... -
Reinforcement Learning Based EV Charging Management Systems-A Review
( IEEE , 2021 , Article)To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years. The application of ... -
Reinforcement learning-based control for combined infusion of sedatives and analgesics
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The focus of several clinical trials and research in the area of clinical pharmacology is to fine tune the drug dosing in the phase of additive, antagonistic, and synergistic drug interactive effects. It is important to ... -
Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment
( Elsevier Inc. , 2017 , Article)The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ... -
Reinforcement Learning-based Control of Signalized Intersections having Platoons
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Smart transportation cities are based on intelligent systems and data sharing while human drivers generally have limited capabilities and imperfect observations in traffics. The perception of Connected and Autonomous Vehicle ... -
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.
( Elsevier , 2019 , Article)In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment ... -
Reinforcement learning-based school energy management system
( MDPI AG , 2020 , Article)Energy efficiency is a key to reduced carbon footprint, savings on energy bills, and sustainability for future generations. For instance, in hot climate countries such as Qatar, buildings are high energy consumers due to ... -
Relay assignment in multiple source-destination cooperative networks with limited feedback
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)We consider in this paper relay assignment for cooperative systems with mutiple source-destination pairs. The objective here is to assign relays to the source-destination pairs in such a way that all pairs achieve the ... -
Relay assignment in network-coded cooperative systems with M-PSK modulation over asymmetric channels
( IEEE , 2010 , Conference Paper)We consider in this paper relay assignment for cooperative systems with multiple two-way relay channels. The nodes corresponding to one two-way relay channel (henceforth referred to as pair) communicate with each other ... -
Relay selection for cooperative underwater acoustic communication systems
( IEEE , 2012 , Conference Paper)In this paper, we consider a multi-carrier and multi-relay underwater acoustic communication (UWAC) system and investigate the relay selection problem. Our channel model is built on an aggregation of both large-scale path ... -
Relay selection in FDD amplify-and-forward cooperative networks
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In this paper, the problems of relay selection and distributed beamforming are investigated for bi-directional dual-hop amplify-and-forward frequency-division duplex cooperative wireless networks. When using individual ... -
Relay selection in underlay cognitive networks with fixed transmission power nodes
( John Wiley & Sons, Ltd. , 2013 , Article)Underlay cognitive networks operate simultaneously with primary networks satisfying stringent interference constraints, which reduces their transmission power and coverage area. To reach remote destinations, secondary ... -
Relay-Assisted Primary and Secondary Transmissions in Cognitive Radio Networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)We assume a set of cognitive relay nodes that assists both primary and secondary transmissions in a time-slotted cognitive radio networks. To regulate the channel access of the various nodes in the network, we propose an ... -
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
( IEEE Computer Society , 2021 , Conference Paper)Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ...
