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Titlebook: Data Science and Internet of Things; Research and Applica Giancarlo Fortino,Antonio Liotta,Alessandro Longhe Book 2021 Springer Nature Swit

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A Collaborative BSN-Enabled Architecture for Multi-user Activity Recognition,propose a software architecture which combines cloud and edge computing with collaborative body sensor networks (CBSNs) to support the development of CBSNs-enabled services and in particular we provide its case-study in the context of multi-user AR.
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https://doi.org/10.1007/978-3-031-53744-8hods, but in polylogarithmic time. Starting from this we present our results on the correlation existing between GoT and the most widely used centrality measures. From our experiments emerge that a strong correlation exists, which makes GoT eligible as a centrality measure for large scale complex networks.
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https://doi.org/10.1007/978-3-031-53744-8rning (ML) can be used, so the system will provide recommendations to agronomists. The novelty presented in our system is that data contributed by multiple farming sites can be used to improve the quality of predictions and recommendations for all parties involved.
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Correlations Among Game of Thieves and Other Centrality Measures in Complex Networks,hods, but in polylogarithmic time. Starting from this we present our results on the correlation existing between GoT and the most widely used centrality measures. From our experiments emerge that a strong correlation exists, which makes GoT eligible as a centrality measure for large scale complex networks.
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2199-1073 esearch in the intermingling of IoT and data science.Offer a.This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can transl
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https://doi.org/10.1007/978-1-84882-052-4f the vertical takeoff and landing (VTOL) type are still facing, detailing their key application areas. Afterward, we discuss some solutions where wireless communications between UAVs enable achieving advanced collaborative solutions such as flight coordination and collision avoidance.
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