Data Science and Internet of Things
portes grátis
Data Science and Internet of Things
Research and Applications at the Intersection of DS and IoT
Fortino, Giancarlo; Gravina, Raffaele; Liotta, Antonio; Longheu, Alessandro
Springer Nature Switzerland AG
02/2022
182
Mole
Inglês
9783030671990
15 a 20 dias
308
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Algorithms, methods, tools for Data Science;Interoperability in IoT systems;Innovative IoT applications;Cloud, Edge, Fog Computing architectures;Data-driven IoT Architectures;Big data, machine learning, deep learning;Wireless sensor networks;Smart home, smart cities, smart health;Industry 4.0;green economy;data structures
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Algorithms, methods, tools for Data Science;Interoperability in IoT systems;Innovative IoT applications;Cloud, Edge, Fog Computing architectures;Data-driven IoT Architectures;Big data, machine learning, deep learning;Wireless sensor networks;Smart home, smart cities, smart health;Industry 4.0;green economy;data structures
