Titlebook: Learning Techniques for the Internet of Things; Praveen Kumar Donta,Abhishek Hazra,Lauri Lovén Book 2024 The Editor(s) (if applicable) and

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Exploring IoT Communication Technologies and Data-Driven Solutions,), and deep learning (DL), focusing on their integration with IoT technologies. We have also briefly discussed the benefits of using data-driven technologies in various IoT applications. Furthermore, we have outlined several potential challenges and how data-driven technologies can address them, emp

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Multi-Objective and Constrained Reinforcement Learning for IoT,le interacting with the environment without training data. A central challenge in decision-making in IoT networks is that most optimization problems consist of co-optimizing multiple conflicting objectives. With the development of multi-objective RL (MORL) approaches over the last two decades, there

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Intelligence Inference on IoT Devices,ecific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. The review encompasses various aspects, including the background of inference, hardware architectures supporting inference, a diverse range of intelligent applications, inference librar

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Quantum Internet of Things for Smart Healthcare,ntum Internet of things current state in the context of smart healthcare, including its applications, advantages, challenges, and future prospects. It explores the key components of quantum Internet of things for healthcare applications, examines the challenges and opportunities, and presents future

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tic perspectives. Part II presents a series of empirical studies on educational interaction. Together, these show regional differences in cognitive and psychomotor learning outcomes, the importance of academic emotions in learning, cultural aspects in understanding the visual arts, and interactive l