This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume off…
This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume off…
Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in coun…
The book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. It deals with the following subjects: traffic management; anomaly detection; clustering algorithms; unsupervised feat…
The book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. It deals with the following subjects: traffic management; anomaly detection; clustering algorithms; unsupervised feat…
Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and st…
Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and st…
The book comprises 17 chapters dealing with the following subjects: human-robot computing, sensing and networking; deep learning techniques; human manipulation modelling; autonomous robotic grasping; soft end-effectors; artificial intelligence; affective computing; emotion recog…
The book considers the following developments in smart cities and data infrastructures: urban intelligence; city data management; business strategies; services innovation; business models; and reference architecture framework.
The book comprises 12 chapters dealing with the following subjects: blockchains for network security; blockchain system architecture; blockchain consensus and incentives; Internet of Things; 5G and 6G networks; edgechain for organization-based multi-agent systems; privacy-preser…
The book comprises 12 chapters dealing with the following subjects: blockchains for network security; blockchain system architecture; blockchain consensus and incentives; Internet of Things; 5G and 6G networks; edgechain for organization-based multi-agent systems; privacy-preser…
Since both IoT and Big Data have a lot of overlap, it is an ideal time to present the recent advances which are taking place at the intersections of both these fields to identify future trends. The book covers the important aspects of Big Data-enabled IoT. The main focus of the …
In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device cloud…
