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crossrefFuture Internet2025-02-11Cited by 3

Machine Learning for Blockchain and IoT Systems in Smart City

Cheng-Chi Lee, Dinh-Thuan Do, Agbotiname Lucky Imoize

Recent advancements in machine learning algorithms have facilitated the rapid use of blockchain technology and the Internet of Things in the design and development of smart cities [...]

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crossrefFuture Internet2025-09-11Cited by 1

Toward Secure SDN Infrastructure in Smart Cities: Kafka-Enabled Machine Learning Framework for Anomaly Detection

Gayathri Karthick, Glenford Mapp, Jon Crowcroft

As smart cities evolve, the demand for real-time, secure, and adaptive network monitoring, continues to grow. Software-Defined Networking (SDN) offers a centralized approach to managing network flows; However, anomaly detection within SDN environments remains a significant challe…

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crossrefFuture Internet2024-09-06Cited by 27

Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey

Elias Dritsas, Maria Trigka

The integration of machine learning (ML), blockchain, and the Internet of Things (IoT) in smart cities represents a pivotal advancement in urban innovation. This convergence addresses the complexities of modern urban environments by leveraging ML’s data analytics and predictive c…

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crossrefFuture Internet2024-11-21Cited by 11

Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications

Vesna Antoska Knights, Olivera Petrovska, Jasenka Gajdoš Kljusurić

This paper presents a novel approach to robotic control by integrating nonlinear dynamics with machine learning (ML) in an Internet of Things (IoT) framework. This study addresses the increasing need for adaptable, real-time control systems capable of handling complex, nonlinear…

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crossrefFuture Internet2024-06-05Cited by 34

Implementation of Lightweight Machine Learning-Based Intrusion Detection System on IoT Devices of Smart Homes

Abbas Javed, Amna Ehtsham, Muhammad Jawad, Muhammad Naeem Awais, Ayyaz-ul-Haq Qureshi, Hadi Larijani

Smart home devices, also known as IoT devices, provide significant convenience; however, they also present opportunities for attackers to jeopardize homeowners’ security and privacy. Securing these IoT devices is a formidable challenge because of their limited computational resou…

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crossrefFuture Internet2026-01-02Cited by 1

Machine Learning for Assessing Vital Signs in Humans in Smart Cities Based on a Multi-Agent System

Nejood Faisal Abdulsattar, Hassan Khotanlou, Hatam Abdoli

Healthcare professionals face numerous challenges when analyzing data and providing treatment, including determining which parameters to measure, the frequency of measurement, i.e., how frequently to measure them, and the responsibility for monitoring patient health with new medi…

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crossrefFuture Internet2024-10-26Cited by 35

Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review

Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

The Internet of Things (IoT) has radically changed the industrial world, enabling the integration of numerous systems and devices into the industrial ecosystem. There are many areas of the manufacturing industry in which IoT has contributed, including plants’ remote monitoring an…

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