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Machine Learning, Data Mining, and IoT Applications in Smart and Sustainable Networks

Author

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  • Muhammad Shafiq

    (School of Computer Science and Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea)

  • Amjad Ali

    (College of Science and Engineering (CSE), Hamad Bin Khalifa University, Doha 34110, Qatar)

  • Farman Ali

    (Department of Computer Science and Engineering, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Republic of Korea)

  • Jin-Ghoo Choi

    (School of Computer Science and Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea)

Abstract

The smart and sustainable networks require highly connected systems that can improve their operational performance, reduce environmental impact, and increase functional efficiency [...]

Suggested Citation

  • Muhammad Shafiq & Amjad Ali & Farman Ali & Jin-Ghoo Choi, 2024. "Machine Learning, Data Mining, and IoT Applications in Smart and Sustainable Networks," Sustainability, MDPI, vol. 16(18), pages 1-5, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8059-:d:1478534
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