Výsledky vyhledávání - S. I: Intelligent Computing Methodologies in Machine learning for IoT Applications

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

    ISSN: 1084-8045
    Vydáno: 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
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    Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems Autor Nikpour, Maryam, Yousefi, Parisa Behvand, Jafarzadeh, Hadi, Danesh, Kasra, Shomali, Roya, Asadi, Saeed, Ahmad Gholizadeh Lonbar, Ahmadi, Mohsen

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

    ISSN: 2581-9429, 2581-9429
    Vydáno: 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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    Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning Autor Li, Hanzhe, Wang, Xiangxiang, Yuan, Feng, Qi, Yaqian, Tian, Jingxiao

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 26.03.2024
    Vydáno v 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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    Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques Autor Emamian, Masoud, Eskandari, Aref, Aghaei, Mohammadreza, Nedaei, Amir, Sizkouhi, Amirmohammad Moradi, Milimonfared, Jafar

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 01.05.2022
    Vydáno v 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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    Cloud Computing and IoT-Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques Autor Malathi, P., D, Jana, A, Kamalesh, M, Kanimozhi

    ISBN: 9798331558321
    Vydáno: 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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    Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques Autor Liu, Chang, Feng, Yongfu, Lin, Dongtao, Wu, Liang, Guo, Min

    ISSN: 0020-7543, 1366-588X
    Vydáno: London Taylor & Francis 01.09.2020
    “… The model utilises big data analytics, intelligent logistics management, and machine learning techniques…”
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    Intelligent Prediction System for IoV Automotive Vehicles in Smart Cities Integrating IoT, Cloud Computing, Digital Twin, and Machine Learning Autor ElKhamisy, Amr Mohamed, Youssef, Sherin Moustafa, Saleh, Sherine Nagy

    Vydáno: 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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    Physics-Informed Machine Learning Optimization Design of Reconfigurable Intelligent Surfaces for IoT Applications Autor Zhang, Zhen, Hui Qiu, Jun, Wei Zhang, Jun, Dong Li, Hui, Tang, Dong, Cheng, Qiang, Lin, Wei

    ISSN: 2327-4662, 2327-4662
    Vydáno: Piscataway IEEE 01.12.2025
    Vydáno v 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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    A Review on Applications of Intelligent Intrusion Detection Using Machine Learning and IoT Autor Soliya, Jay Ashokkumar, Varpe, Amarsinh Bhimrao, Patel, Anil

    ISSN: 2582-3930, 2582-3930
    Vydáno: 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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    Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs Autor Zhang, Liang, Jabbari, Bijan

    ISSN: 1938-1883
    Vydáno: 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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    Reconfigurable Architecture Application Using Machine Learning in Edge Computing for IoT Devices Autor Begum, M. Baritha, Eindhumathy, J., Priya, J. Sangeetha, Padmaa, M., Nagarajan, N. R., Suhail, S.J. Muhamed

    ISSN: 2573-3079
    Vydáno: 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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    Convergence of Cloud Quantum Computing, IOT, and AI for Advanced Machine Learning Applications Autor Anand, T., M, Parashiva Murthy B, Uma, Dorai, Prabhu, Sathya, V, R, Karthick

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

    Vydáno: 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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