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crossrefFuture Internet2026-03-11Cited by 0

Machine Learning and IoT as Enablers of Intelligent Industrial Transformation

Paulina Ayala, Marcelo V. Garcia

The rapid expansion of cyber-physical systems, sensor networks, and data-driven automation platforms has profoundly reconfigured the operational logic of contemporary industrial environments [...]

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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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crossrefFuture Internet2025-09-11Cited by 17

Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications

Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo

Intelligent edge machine learning has emerged as a paradigm for deploying smart applications across resource-constrained devices in next-generation network infrastructures. This survey addresses the critical challenges of implementing machine learning models on edge devices withi…

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crossrefFuture Internet2025-10-11Cited by 1

Intelligent Control Approaches for Warehouse Performance Optimisation in Industry 4.0 Using Machine Learning

Ádám Francuz, Tamás Bányai

In conventional logistics optimization problems, an objective function describes the relationship between parameters. However, in many industrial practices, such a relationship is unknown, and only observational data is available. The objective of the research is to use machine l…

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crossrefFuture Internet2023-10-10Cited by 2

Data-Driven Safe Deliveries: The Synergy of IoT and Machine Learning in Shared Mobility

Fatema Elwy, Raafat Aburukba, A. R. Al-Ali, Ahmad Al Nabulsi, Alaa Tarek, Ameen Ayub, et al.

Shared mobility is one of the smart city applications in which traditional individually owned vehicles are transformed into shared and distributed ownership. Ensuring the safety of both drivers and riders is a fundamental requirement in shared mobility. This work aims to design a…

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crossrefFuture Internet2025-02-12Cited by 6

Secure Tiny Machine Learning on Edge Devices: A Lightweight Dual Attestation Mechanism for Machine Learning

Vlad-Eusebiu Baciu, An Braeken, Laurent Segers, Bruno da Silva

Emerging edge devices are transforming the Internet of Things (IoT) by enabling more responsive and efficient interactions between physical objects and digital networks. These devices support diverse applications, from health-monitoring wearables to environmental sensors, by movi…

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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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