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- W3200137908 abstract "The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and introduce vulnerabilities. Intelligent management of IoT is required to maintain connectivity, improve Quality of Service (QoS), and reduce energy consumption in real time within dynamic environments. Machine Learning (ML) plays a pivotal role in QoS enhancement, connectivity, and provisioning of smart applications. Therefore, this survey focuses on the use of ML for enhancing IoT applications. We also provide an in-depth overview of the variety of IoT applications that can be enhanced using ML, such as smart cities, smart homes, and smart healthcare. For each application, we introduce the advantages of using ML. Finally, we shed light on ML challenges for future IoT research, and we review the current literature based on existing works." @default.
- W3200137908 created "2021-09-27" @default.
- W3200137908 creator A5006211317 @default.
- W3200137908 creator A5011625447 @default.
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- W3200137908 creator A5060832078 @default.
- W3200137908 creator A5088660613 @default.
- W3200137908 creator A5089032960 @default.
- W3200137908 date "2021-09-18" @default.
- W3200137908 modified "2023-10-14" @default.
- W3200137908 title "Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS" @default.
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