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A Review of Fault Diagnosing Methods in Power Transmission Systems

Applied sciences, 2020-02, Vol.10 (4), p.1312

2020

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Implementation of Machine Learning for Fault Classification on Vehicle Power Transmission System

IEEE sensors journal, 2020-12, Vol.20 (24), p.15163-15176

2020

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LipidOz enables automated elucidation of lipid carbon–carbon double bond positions from ozone-induced dissociation mass spectrometry data

Communications chemistry, 2023-04, Vol.6 (1), p.74-11, Article 74

2023

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AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

Big Data Mining and Analytics, 2024-06, Vol.7 (2), p.271-293

Kumar, Sunil

2024

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Power System Disturbance Classification Using CWT Guided Customized AlexNet CNN

IEEE sensors letters, 2024-06, Vol.8 (6), p.1-4

2024

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Improving Neural Network with Uniform Sparse Connectivity

IEEE access, 2020-01, Vol.8, p.1-1

Luo, Weijun

2020

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Development of Novel Big Data Analytics Framework for Smart Clothing

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation

Journal of information and organizational sciences, 2021-01, Vol.45 (2), p.535-551

2021

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Machine learning modeling for ultrasonic quality attribute assessment of pharmaceutical tablets for continuous manufacturing and real-time release testing

International journal of pharmaceutics, 2024-04, Vol.655, p.124049-124049, Article 124049

2024

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Machine Learning Applications in Manufacturing-Challenges, Trends, and Future Directions

IEEE open journal of the Industrial Electronics Society, 2024, Vol.5, p.1085-1103

2024

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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

2021

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From 5g To 6g And Beyond: The 7 Cs Of Future Communications

Kiat Seng Yeo

2023

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Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

Briefings in bioinformatics, 2021-09, Vol.22 (5)

2021

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Artificial intelligence in retina

Progress in retinal and eye research, 2018-11, Vol.67, p.1-29

2018

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Software Vulnerability Detection Using Deep Neural Networks: A Survey

Proceedings of the IEEE, 2020-10, Vol.108 (10), p.1825-1848

2020

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Wireless Network Intelligence at the Edge

Proceedings of the IEEE, 2019-11, Vol.107 (11), p.2204-2239

2019

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Technology and Management for Sustainable Buildings and Infrastructures

Kim, Sunkuk

2021

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A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges

IEEE access, 2022, Vol.10, p.23560-23592

2022

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Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

IEEE Communications surveys and tutorials, 2020-01, Vol.22 (3), p.1472-1514

2020

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A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

IEEE internet of things journal, 2021-04, Vol.8 (7), p.5476-5497

2021

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Recent advances in flexible hydrogel sensors: Enhancing data processing and machine learning for intelligent perception

Biosensors & bioelectronics, 2024-10, Vol.261, p.116499, Article 116499

2024

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CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

IEEE internet of things journal, 2021-03, Vol.8 (5), p.3242-3254

2021

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Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing

IEEE Communications surveys and tutorials, 2022-01, Vol.24 (2), p.967-993

2022

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Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

Proceedings of the IEEE, 2020-02, Vol.108 (2), p.292-307

2020

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A review of Machine Learning (ML) algorithms used for modeling travel mode choice

Dyna (Medellín, Colombia), 2019, Vol.211 (86), p.32-41

Pineda Jaramillo, Juan D

2019

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A Review of Fault Diagnosing Methods in Power Transmission Systems

Implementation of Machine Learning for Fault Classification on Vehicle Power Transmission System

LipidOz enables automated elucidation of lipid carbon–carbon double bond positions from ozone-induced dissociation mass spectrometry data

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

Power System Disturbance Classification Using CWT Guided Customized AlexNet CNN

Improving Neural Network with Uniform Sparse Connectivity

Development of Novel Big Data Analytics Framework for Smart Clothing

Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation

Machine learning modeling for ultrasonic quality attribute assessment of pharmaceutical tablets for continuous manufacturing and real-time release testing

Machine Learning Applications in Manufacturing-Challenges, Trends, and Future Directions

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

From 5g To 6g And Beyond: The 7 Cs Of Future Communications

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

Artificial intelligence in retina

Software Vulnerability Detection Using Deep Neural Networks: A Survey

Wireless Network Intelligence at the Edge

Technology and Management for Sustainable Buildings and Infrastructures

A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

Recent advances in flexible hydrogel sensors: Enhancing data processing and machine learning for intelligent perception

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

A review of Machine Learning (ML) algorithms used for modeling travel mode choice

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