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Towards Building a Faster and Incentive Enabled Privacy-Preserving Proof of Location Scheme from GTOTP
Towards Building a Faster and Incentive Enabled Privacy-Preserving Proof of Location Scheme from GTOTP
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Towards Building a Faster and Incentive Enabled Privacy-Preserving Proof of Location Scheme from GTOTP

Electronics (Basel), 2024-04, Vol.13 (8), p.1443 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics13081443

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2
A novel meta‐learning network for partial discharge source localization in gas‐insulated switchgear via digital twin
A novel meta‐learning network for partial discharge source localization in gas‐insulated switchgear via digital twin
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A novel meta‐learning network for partial discharge source localization in gas‐insulated switchgear via digital twin

IET generation, transmission & distribution, 2024-05, Vol.18 (9), p.1785-1794 [Peer Reviewed Journal]

2024 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. ;ISSN: 1751-8687 ;EISSN: 1751-8695 ;DOI: 10.1049/gtd2.13156

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3
DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks
DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks
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DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks

IEEE access, 2024-01, Vol.12, p.1-1 [Peer Reviewed Journal]

EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3384981 ;CODEN: IAECCG

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4
A ground fault location algorithm in double‐circuit transmission lines with T‐off connection to an industrial microgrid by using current and voltage phasors information of a single terminal
A ground fault location algorithm in double‐circuit transmission lines with T‐off connection to an industrial microgrid by using current and voltage phasors information of a single terminal
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A ground fault location algorithm in double‐circuit transmission lines with T‐off connection to an industrial microgrid by using current and voltage phasors information of a single terminal

IET generation, transmission & distribution, 2024-04, Vol.18 (8), p.1714-1741 [Peer Reviewed Journal]

ISSN: 1751-8687 ;EISSN: 1751-8695 ;DOI: 10.1049/gtd2.13154

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5
A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors
A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors
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A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

Electronics (Basel), 2024-05, Vol.13 (9), p.1741 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics13091741

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6
Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods
Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods
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Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods

IEEE access, 2024, Vol.12, p.49017-49033 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3384761 ;CODEN: IAECCG

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7
Surround Sensing Technique for Trucks Based on Multi-Features and Improved Yolov5 Algorithm
Surround Sensing Technique for Trucks Based on Multi-Features and Improved Yolov5 Algorithm
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Surround Sensing Technique for Trucks Based on Multi-Features and Improved Yolov5 Algorithm

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2112 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24072112 ;PMID: 38610324

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8
Fault‐tolerant control of current residual vector three‐phase four‐switch motor drive system based on MLD model
Fault‐tolerant control of current residual vector three‐phase four‐switch motor drive system based on MLD model
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Fault‐tolerant control of current residual vector three‐phase four‐switch motor drive system based on MLD model

IET power electronics, 2024-05, Vol.17 (6), p.731-751 [Peer Reviewed Journal]

2024 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. ;ISSN: 1755-4535 ;EISSN: 1755-4543 ;DOI: 10.1049/pel2.12688

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9
AGV monocular vision localization algorithm based on Gaussian saliency heuristic
AGV monocular vision localization algorithm based on Gaussian saliency heuristic
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AGV monocular vision localization algorithm based on Gaussian saliency heuristic

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.40-15 [Peer Reviewed Journal]

The Author(s) 2024 ;COPYRIGHT 2024 Springer ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-024-01112-8

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10
Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines With a Machine Learning Approach
Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines With a Machine Learning Approach
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Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines With a Machine Learning Approach

IEEE transactions on electromagnetic compatibility, 2024-03, p.1-10 [Peer Reviewed Journal]

ISSN: 0018-9375 ;EISSN: 1558-187X ;DOI: 10.1109/TEMC.2024.3375452 ;CODEN: IEMCAE

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11
An Underwater Source Location Privacy Protection Scheme Based on Game Theory in a Multi-Attacker Cooperation Scenario
An Underwater Source Location Privacy Protection Scheme Based on Game Theory in a Multi-Attacker Cooperation Scenario
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An Underwater Source Location Privacy Protection Scheme Based on Game Theory in a Multi-Attacker Cooperation Scenario

Sensors (Basel, Switzerland), 2024-05, Vol.24 (9), p.2851 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24092851 ;PMID: 38732958

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12
Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning
Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning
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Deep Learning-Based Cooperative LiDAR Sensing for Improved Vehicle Positioning

IEEE transactions on signal processing, 2024, Vol.72, p.1666-1682 [Peer Reviewed Journal]

ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2024.3377375 ;CODEN: ITPRED

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13
Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation
Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation
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Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2214 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24072214 ;PMID: 38610425

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14
LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
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LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2272 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24072272 ;PMID: 38610483

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15
Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
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Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis

Sensors (Basel, Switzerland), 2024-04, Vol.24 (8), p.2656 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2024 by the author. 2024 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24082656 ;PMID: 38676272

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16
Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis
Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis
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Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis

Sensors (Basel, Switzerland), 2024-05, Vol.24 (9), p.2793 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24092793 ;PMID: 38732899

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17
Improved Leap-frog Method for Time-domain Fault Location
Improved Leap-frog Method for Time-domain Fault Location
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Improved Leap-frog Method for Time-domain Fault Location

Journal of modern power systems and clean energy, 2024-03, Vol.12 (2), p.670-674 [Peer Reviewed Journal]

EISSN: 2196-5420 ;DOI: 10.35833/MPCE.2023.000175

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18
Unmanned aerial vehicle-assisted wideband cognitive radio network based on DDQN-SAC
Unmanned aerial vehicle-assisted wideband cognitive radio network based on DDQN-SAC
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Unmanned aerial vehicle-assisted wideband cognitive radio network based on DDQN-SAC

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.43-17 [Peer Reviewed Journal]

The Author(s) 2024 ;COPYRIGHT 2024 Springer ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-024-01141-3

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19
Evaluation and Comparison of 5G, WiFi and fusion with incomplete maps for Indoor Localization
Evaluation and Comparison of 5G, WiFi and fusion with incomplete maps for Indoor Localization
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Evaluation and Comparison of 5G, WiFi and fusion with incomplete maps for Indoor Localization

IEEE access, 2024-01, Vol.12, p.1-1 [Peer Reviewed Journal]

EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3384625 ;CODEN: IAECCG

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20
Power Adapter Appearance Defect Detection Based on Task Feature Decoupling YOLOv8n
Power Adapter Appearance Defect Detection Based on Task Feature Decoupling YOLOv8n
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Power Adapter Appearance Defect Detection Based on Task Feature Decoupling YOLOv8n

IEEE access, 2024, Vol.12, p.60070-60080 [Peer Reviewed Journal]

EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3392638 ;CODEN: IAECCG

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