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Journal of Applied Statistics Volume 50, 2023 - Issue 3: Statistical Approaches for Big Data and Machine Learning
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An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks

Fang Fana College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-8756-2887
ORCID Icon,
Shu-Chuan Chua College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of China
,
Jeng-Shyang Pana College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2354-5834
ORCID Icon,
Chuang Linb Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People’s Republic of China
&
Huiqi Zhaoc College of Intelligent Equipment, Shandong University of Science and Technology, Taian, People’s Republic of China
Pages 592-609 | Received 28 Sep 2020, Accepted 07 May 2021, Published online: 26 May 2021

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Yichuan Zhao, Chi-Hua Chen, Feng Feng & Dragan Pamucar. (2023) Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning. Journal of Applied Statistics 50:3, pages 451-455.
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Articles from other publishers (13)

Nagarajan Babu & Sripathi Venkata Naga Santhosh Kumar. (2024) Chaos quantum optimization‐based layered diagnosis framework for faulty sensor node diagnosis and classification in wireless sensor networks. International Journal of Communication Systems.
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Lavina Balraj & Aruchamy Prasanth. (2024) An energy‐aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things‐enabled wireless sensor network . Transactions on Emerging Telecommunications Technologies 35:4.
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Suman .Raees Ahmad Khan. (2024) Survey on identification and prediction of security threats using various deep learning models on software testing. Multimedia Tools and Applications.
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Omer Gulec. (2023) An Effective Cluster Head Selection Algorithm using Machine Learning in IoNT. An Effective Cluster Head Selection Algorithm using Machine Learning in IoNT.
Gagandeep Kaur & Mahua Bhattacharya. (2023) Intelligent Fault Diagnosis for AIT-Based Smart Farming Applications. IEEE Sensors Journal 23:22, pages 28261-28269.
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Ojonukpe S. Egwuche, Abhilash Singh, Absalom E. Ezugwu, Japie Greeff, Micheal O. Olusanya & Laith Abualigah. (2023) Machine learning for coverage optimization in wireless sensor networks: a comprehensive review. Annals of Operations Research.
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Santoshinee Mohapatra & Bela Shrimali. (2023) Fault Detection in Forest Fire Monitoring Using Negative Selection Approach. Fault Detection in Forest Fire Monitoring Using Negative Selection Approach.
Huiqi Zhao, Rui Lei, Fang Fan, Yulong Guo & Ying Li. (2023) Abnormal Detection of Industrial Control System Based on LSTM and GSK Algorithm Customized by Taguchi Method. Abnormal Detection of Industrial Control System Based on LSTM and GSK Algorithm Customized by Taguchi Method.
Xuanang Li, Shuangshuang Liu, Saru Kumari & Chien-Ming Chen. (2023) PSAP-WSN: A Provably Secure Authentication Protocol for 5G-Based Wireless Sensor Networks. Computer Modeling in Engineering & Sciences 135:1, pages 711-732.
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Chien-Ming Chen, Zhaoting Chen, Saru Kumari & Meng-Chang Lin. (2022) LAP-IoHT: A Lightweight Authentication Protocol for the Internet of Health Things. Sensors 22:14, pages 5401.
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Chien-Ming Chen, Shuangshuang Liu, Xuanang Li, Saru Kumari & Long Li. (2022) Design and Analysis of a Provable Secure Two-Factor Authentication Protocol for Internet of Things. Security and Communication Networks 2022, pages 1-12.
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Yajie Bi. (2022) The Application of Wireless Sensor Technology of Internet of Things in Korean Language Teaching. Wireless Communications and Mobile Computing 2022, pages 1-11.
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Jeng-Shyang Pan, Ai-Qing Tian, Shu-Chuan Chu, Tsu-Yang Wu & Jin Wang. 2022. Genetic and Evolutionary Computing. Genetic and Evolutionary Computing 724 733 .

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