تصفح Electrical Engineering حسب العنوان
السجلات المعروضة 1389 -- 1408 من 2495
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L-L and L-2L Multilevel boost converter topologies with voltage multiplier with L-L and L-2L converter of XY familiy
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)A New L-L and L-2L Multilevel Boost Converter topologies (L-LMBC and L-2LMBC) are proposed for photovoltaic (PV) energy application. Both L-LMBC and L-2LMBC topologies are designed to provide a viable and effective solution ... -
L-L Converter for Fuel Cell Vehicular Power Train Applications: Hardware Implementation of Primary Member of X-Y Converter Family
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In this research work, L-L converter (primary member of XY converter family) is proposed and discussed in detail for fuel cell based Vehicular Power Train (FC VPT) and DC auxiliary loads. In normally, that the voltage of ... -
LaCoDa: Layered connected topology for massive data centers
( Academic Press , 2017 , Article)One of the fundamental challenges of existing data centers is to design a network that interconnects massive number of servers, and therefore providing an efficient and fault-tolerant routing service to upper-layer ... -
Lascada: A novel scalable topology for data center network
( IEEE , 2020 , Article)The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability ... -
Latency Analysis of UAV based Communication Networks
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)UAV based communication is gaining more and more interest in both research and industry. On top of all benefits gained by using UAVs, we investigate in this paper the effect of using UAV communication on the user experienced ... -
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
( Elsevier , 2022 , Article Review)With the widespread use of Internet of things (IoT), mobile phones, connected devices and artificial intelligence (AI), recommender systems (RSs) have become a booming technology because of their capability to analyze big ... -
Lattice-Boltzmann interactive blood flow simulation pipeline
( Springer , 2020 , Article)Purpose: Cerebral aneurysms are one of the prevalent cerebrovascular disorders in adults worldwide and caused by a weakness in the brain artery. The most impressive treatment for a brain aneurysm is interventional radiology ... -
LCDnet: a lightweight crowd density estimation model for real-time video surveillance
( Institute for Ionics , 2023 , Article)Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks ... -
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Learning graph affinities for spectral graph-based salient object detection
( Elsevier Ltd , 2017 , Article)In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ... -
Learning to rank salient segments extracted by multispectral Quantum Cuts
( Elsevier B.V. , 2016 , Article)and third, multispectral approach is followed to generate multiple proposals instead of a single proposal as in Quantum Cuts. The proposed learn-to-rank algorithm is then applied to these multiple proposals in order to ... -
LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT
( Elsevier B.V. , 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 ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ... -
Leveraging Quality of Service and Cost in Cyber-Physical Systems Design
( Springer , 2019 , Conference Paper)Cyber-Physical Systems (CPSs) comprise multiple cyberparts, physical processes, and human participants (end-users) that affect them, and vice versa. During the design of such systems, it is critical for the designer to ... -
Life is engineering program: Impact of an engineering outreach project in K-12
( IEEE , 2013 , Conference Paper)The demand for qualified national engineers is high in Qatar; Currently, a wide gap in supply exists. Consequently, urgent and proactive interventions at K-12 level to promote engineering profession to school students are ... -
Lifetime maximization for greedy selective relay strategies
(2009 , Conference Paper)In this paper we propose a new algorithm for selective relay strategies with Amplify-and-Forward (AF) relays which improves the relay network lifetime. The lifetime of the relay network is defined as the maximum number of ... -
Lifetime maximization with predictive power management in selective relay networks
( Institute of Electrical and Electronics Engineers Inc. , 2009 , Conference Paper)A diversity scheme which exploits the existence of a source-destination path to improve the lifetime and outage probability of a wireless selective relay network with Amplifyand-Forward (AF) relays is proposed and studied. ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ... -
Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) environments are widely employed in industrial applications including intelligent transportation systems, healthcare systems, and building energy management systems. For such environments of highly ...
