Search Results - S. I: Intelligent Computing Methodologies in Machine learning for IoT Applications

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  1. 1

    Special issue on intelligent computing methodologies in machine learning for IoT applications by Zhao, Jinghua, Xuan, Junyu

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.07.2021
    Published in Neural computing & applications (01.07.2021)
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    Journal Article
  2. 2

    Intelligent energy management with IoT framework in smart cities using intelligent analysis: An application of machine learning methods for complex networks and systems by Nikpour, Maryam, Yousefi, Parisa Behvand, Jafarzadeh, Hadi, Danesh, Kasra, Shomali, Roya, Asadi, Saeed, Lonbar, Ahmad Gholizadeh, Ahmadi, Mohsen

    ISSN: 1084-8045
    Published: Elsevier Ltd 01.03.2025
    “… Our review methodology involves a thorough analysis of existing literature on IoT architectures and frameworks for intelligent energy management applications…”
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    Journal Article
  3. 3

    Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems by Nikpour, Maryam, Yousefi, Parisa Behvand, Jafarzadeh, Hadi, Danesh, Kasra, Shomali, Roya, Asadi, Saeed, Ahmad Gholizadeh Lonbar, Ahmadi, Mohsen

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 03.12.2024
    Published in arXiv.org (03.12.2024)
    “… literature on IoT architectures and frameworks for intelligent energy management applications…”
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    Paper
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    Driving Efficiency in Industry IoT: A Framework Powered by Intelligent Computing and Machine Learning by Umesh W. Hore

    ISSN: 2581-9429, 2581-9429
    Published: 29.02.2024
    “… In this paper, we propose a comprehensive framework for IIoT leveraging intelligent computing techniques, particularly machine learning (ML…”
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    Journal Article
  6. 6

    Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning by Li, Hanzhe, Wang, Xiangxiang, Yuan, Feng, Qi, Yaqian, Tian, Jingxiao

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 26.03.2024
    Published in arXiv.org (26.03.2024)
    “…This article explores how to drive intelligent iot monitoring and control through cloud computing and machine learning…”
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    Paper
  7. 7

    Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques by Emamian, Masoud, Eskandari, Aref, Aghaei, Mohammadreza, Nedaei, Amir, Sizkouhi, Amirmohammad Moradi, Milimonfared, Jafar

    ISSN: 1996-1073, 1996-1073
    Published: Basel MDPI AG 01.05.2022
    Published in Energies (Basel) (01.05.2022)
    “…This paper proposes an Intelligent Monitoring System (IMS) for Photovoltaic (PV) systems using affordable and cost-efficient hardware and also lightweight…”
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    Journal Article
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    Cloud Computing and IoT-Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques by Malathi, P., D, Jana, A, Kamalesh, M, Kanimozhi

    ISBN: 9798331558321
    Published: IEEE 01.08.2025
    “… An IoT and cloud computing-assisted intelligent monitoring framework for PV plants, including high-level machine learning approaches…”
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    Conference Proceeding
  10. 10

    Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques by Liu, Chang, Feng, Yongfu, Lin, Dongtao, Wu, Liang, Guo, Min

    ISSN: 0020-7543, 1366-588X
    Published: London Taylor & Francis 01.09.2020
    “… The model utilises big data analytics, intelligent logistics management, and machine learning techniques…”
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    Journal Article
  11. 11

    Intelligent Prediction System for IoV Automotive Vehicles in Smart Cities Integrating IoT, Cloud Computing, Digital Twin, and Machine Learning by ElKhamisy, Amr Mohamed, Youssef, Sherin Moustafa, Saleh, Sherine Nagy

    Published: IEEE 10.05.2025
    “…) designed specifically for automotive applications in smart cities. Combining IoT, Cloud Computing, Digital Twin technology, and Machine Learning, the system gathers…”
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    Conference Proceeding
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    Physics-Informed Machine Learning Optimization Design of Reconfigurable Intelligent Surfaces for IoT Applications by Zhang, Zhen, Hui Qiu, Jun, Wei Zhang, Jun, Dong Li, Hui, Tang, Dong, Cheng, Qiang, Lin, Wei

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.12.2025
    Published in IEEE internet of things journal (01.12.2025)
    “…) waves digitally, offering great potential for Internet of Things (IoT) applications. However, conventional designs rely heavily on extensive full-wave EM simulations, which are extremely time-consuming…”
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    Journal Article
  14. 14

    RMD Engineering College Files Patent Application for Machine Learning in IoT for Intelligent Routing

    Published: New Delhi Athena Information Solutions Pvt. Ltd 05.07.2021
    Published in Indian Patents News (05.07.2021)
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    Newsletter
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    A Review on Applications of Intelligent Intrusion Detection Using Machine Learning and IoT by Soliya, Jay Ashokkumar, Varpe, Amarsinh Bhimrao, Patel, Anil

    ISSN: 2582-3930, 2582-3930
    Published: 24.12.2024
    “…In this research article is to use machine learning and internet of things components to create an intelligent intrusion detection and alert system…”
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    Journal Article
  17. 17

    Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs by Zhang, Liang, Jabbari, Bijan

    ISSN: 1938-1883
    Published: IEEE 16.05.2022
    “…Most IoT devices have limited or no computing capability while many emerging IoT applications require both computing and communications services…”
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    Conference Proceeding
  18. 18

    Reconfigurable Architecture Application Using Machine Learning in Edge Computing for IoT Devices by Begum, M. Baritha, Eindhumathy, J., Priya, J. Sangeetha, Padmaa, M., Nagarajan, N. R., Suhail, S.J. Muhamed

    ISSN: 2573-3079
    Published: IEEE 18.12.2024
    “… By embedding machine learning algorithms into reconfigurable hardware, the framework enables IoT devices to dynamically adjust their processing capabilities based on the current workload and environmental conditions…”
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    Conference Proceeding
  19. 19

    Convergence of Cloud Quantum Computing, IOT, and AI for Advanced Machine Learning Applications by Anand, T., M, Parashiva Murthy B, Uma, Dorai, Prabhu, Sathya, V, R, Karthick

    Published: IEEE 25.07.2025
    “…Quantum computing (QC) is an advanced technology that leverages the ideologies of quantum physics to dramatically enhance the performance and efficiency of old-style computing systems…”
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    Conference Proceeding
  20. 20

    Exploring the Potential of IoT, Machine Learning, and Cloud Computing in Smart Home Applications by Mathur, Garima, Savita, Pankaj, Gaur, Neeraj, Vishwakarma, Bhavana, Tripathi, Vaibhav

    Published: IEEE 27.09.2024
    “…This study investigates using machine learning (ML), the Internet of Things (IoT), and cloud computing to predict cardiovascular diseases…”
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    Conference Proceeding