Data Science and Internet of Things: Research and Applications at the Intersection of DS and Iot (Hardcover, 2021)

Introduction.- Machine learning algorithms, techniques & applications in IoT domains.- Network science and IoT.- Social media analysis in scale.- UAV solutions in IoT.- IoT aided Smart Home Architecture for Anomaly Detection.- A modeling approach based on Multiplexity and EGT for resource sharing in Fog/Cloud Computing.- Correlations among Game of Thieves and other centrality measures in large networks.- Optimization strategy in data transmission on Narrowband IoT with LWM2M.- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning.- An Energy-efficient Techniques for Constrained Application Protocol (CoAP).- Analysis of GPS power consumption in constrained-resources devices.- A Collaborative BSN-enabled Architecture for Multi-user Activity Recognition.- Conclusion.