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检索条件"机构=Electrical and Computer Engineering and Industrial and Systems Engineering"
43273 条 记 录,以下是251-260 订阅
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A Methodology for Estimating Allocation of Electric Vehicle Grid Interfaces in a Distribution System
A Methodology for Estimating Allocation of Electric Vehicle ...
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2024 IEEE PES/IAS PowerAfrica, PowerAfrica 2024
作者: Subasinghe, Imanthi Kalanika Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University Clemson United States Electronic and Computer Engineering University of Pretoria Department of Electrical South Africa
The integration of electric vehicles (EVs) into the smart grid has introduced new challenges and opportunities for optimizing power and energy management. This paper presents a simple method using a decision-tree to e... 详细信息
来源: 评论
Interactive Framework for Cybersecurity Education and Future Workforce Development  54
Interactive Framework for Cybersecurity Education and Future...
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54th IEEE Frontiers in Education Conference, FIE 2024
作者: Ghimire, Sujan Chowdhury, Muhtasim Alam Tsang, Ryan Yarnell, Richard Heckert, Emma Carpenter, Jaeden Lin, Yu-Zheng Mamun, Muntasir Demara, Ronald F. Rafatirad, Setareh Satam, Pratik Salehi, Soheil University of Arizona Department of Systems and Industrial Engineering TucsonAZ85721 United States University of Arizona Department of Electrical and Computer Engineering TucsonAZ85721 United States University of California Davis Department of Electrical and Computer Engineering DavisCA95616 United States University of Central Florida Department of Electrical and Computer Engineering OrlandoFL32826 United States University of California Davis Department of Computer Science DavisCA95616 United States
This research-to-practice paper presents a novel pedagogical tool for hardware cybersecurity education and workforce development. The growing importance of hardware security has made it essential for individuals and o... 详细信息
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Evaluating the Features of Indoor Positioning systems Using Explainable AI  8
Evaluating the Features of Indoor Positioning Systems Using ...
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8th SLAAI - International Conference on Artificial Intelligence, SLAAI-ICAI 2024
作者: Dhananjaya, S.A.K. Lakmal, H.K.I.S. Nirmal, W.C. NSBM Green University Faculty of Engineering Department of Electrical Electronic & Systems Engineering Homagama Sri Lanka NSBM Green University Faculty of Engineering Department of Mechatronic & Industrial Engineering Homagama Sri Lanka
This paper investigates the application of Explainable AI (XAI) techniques in evaluating the features of indoor positioning systems, with a focus on improving model transparency and interpretability. Indoor positionin... 详细信息
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System Strength Beyond Fault Level
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IEEE Access 2025年 13卷 104184-104200页
作者: Ghazavi Dozein, M. Berry, B. Milanoviae, J.V. Mancarella, P. Monash University Department of Electrical and Computer Systems Engineering ClaytonVIC3800 Australia Curious Insights United Kingdom University of Manchester ManchesterM13 9PL United Kingdom The University of Melbourne School of Electrical and Electronic Engineering ParkvilleVIC3010 Australia
System Strength (SS) is becoming increasingly important while more and more inverter-based resources (IBRs) get connected to weak parts of the grid. There is still, however, a level of ambiguity with respect to formal... 详细信息
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Design of a Pushbroom NIR Optimized System for Citrus Spectral Data Acquisition  18
Design of a Pushbroom NIR Optimized System for Citrus Spectr...
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18th National Meeting on Optics and the 9th Andean and Caribbean Conference on Optics and its Applications, ENO-CANCOA 2024
作者: Gomez, Pablo Ardila Leal, Sebastian Orduz Florez, Lineth Julieth Gomez Giraldo, Robert Alexis Garcia, Hans Arguello, Henry Universidad Industrial de Santander Department of Electrical Engineering Bucaramanga Colombia Universidad Industrial de Santander Department of Computer Science Bucaramanga Colombia
The characterization of citrus fruits is crucial to optimize agricultural production and increase economic benefits for both producers and consumers. However, traditional characterization methods, such as chemical tec... 详细信息
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Enhanced Failure Detection in Induction Motors Using Supervised Learning and Data Smoothing Techniques  8
Enhanced Failure Detection in Induction Motors Using Supervi...
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8th SLAAI - International Conference on Artificial Intelligence, SLAAI-ICAI 2024
作者: Nirmal, W.C. Lakmal, H.K.I.S. Dhananjaya, S.A.K. NSBM Green University Faculty of Engineering Department of Mechatronic & Industrial Engineering Homagama Sri Lanka NSBM Green University Faculty of Engineering Electronic & Systems Engineering Department of Electrical Homagama Sri Lanka
Production machinery failures often cause significant financial losses, and traditional maintenance methods may struggle to mitigate these issues effectively. Predictive maintenance offers a modern solution by forecas... 详细信息
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Robust Score-Based Quickest Change Detection
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IEEE Transactions on Information Theory 2025年 第7期71卷 5539-5555页
作者: Moushegian, Sean Wu, Suya Diao, Enmao Ding, Jie Banerjee, Taposh Tarokh, Vahid Duke University Department of Electrical and Computer Engineering DurhamNC27708 United States University of Minnesota Twin Cities School of Statistics MinneapolisMN55455 United States University of Pittsburgh Department of Industrial Engineering PittsburghPA15213 United States
Methods in the field of quickest change detection rapidly detect in real-time a change in the data-generating distribution of an online data stream. Existing methods have been able to detect this change point when the... 详细信息
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Design and Development of a Fixed-Wing Tail-Sitter Tethered VTOL Drone with Custom Autopilot and Robust Control Techniques  16th
Design and Development of a Fixed-Wing Tail-Sitter Tether...
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16th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2024
作者: Safaee, Ahmad Aguiar, A. Pedro Santos, Filipe Neves Moreira, Antonio Paulo SYSTEC-ARISE Research Center for Systems and Technologies Faculty of Engineering University of Porto Porto4200-465 Portugal INESC-TEC-Institute for Systems and Computer Engineering Technology and Science CRIIS-Centre for Robotics in Industry and Intelligent Systems Porto4200-465 Portugal INESC-TEC-Institute for Systems and Computer Engineering and DEEC/FEUP - Department of Electrical and Computer Engineering Faculty of Engineering of the University of Porto Porto4200-465 Portugal
The need for aerial platforms capable of sustained operation is critical in fields such as surveillance, agricultural monitoring, disaster response, and temporary telecommunication systems. Traditional unmanned aerial... 详细信息
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ASSESSMENT OF THE SIGNIFICANCE OF FEATURES FOR THE IDENTIFICATION OF DOMESTIC APPLIANCES  27
ASSESSMENT OF THE SIGNIFICANCE OF FEATURES FOR THE IDENTIFIC...
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27th International Conference on Electricity Distribution, CIRED 2023
作者: Ma, Liya Schmidt, Maximilian Schegner, Peter Technische Universitaet Dresden Institute of Electrical Power Systems and High Voltage engineering Faculty of Electrical and Computer Engineering Dresden Germany
The load identification technologies in the domestic field, also called Non-Intrusive Load Monitoring (NILM), aim to break down the total electricity consumption at household level to the appliance level. This detaile... 详细信息
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Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks  41
Provable Multi-Task Representation Learning by Two-Layer ReL...
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41st International Conference on Machine Learning, ICML 2024
作者: Collins, Liam Hassani, Hamed Soltanolkotabi, Mahdi Mokhtari, Aryan Shakkottai, Sanjay Department of Electrical and Computer Engineering University of Texas at Austin AustinTX United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA United States Department of Electrical and Computer Engineering University of Southern California Los AngelesCA United States
An increasingly popular machine learning paradigm is to pretrain a neural network (NN) on many tasks offline, then adapt it to downstream tasks, often by re-training only the last linear layer of the network. This app... 详细信息
来源: 评论