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…
This comprehensive book is intended to be both a tutorial on flexible and cognitive radio access technologies for 5G and beyond and an advanced overview for technical professionals and managers in the communications industry, as well as researchers in academia and industry
This edited book examines the application of blockchain technology and machine learning algorithms in various healthcare settings. This book covers the basic concepts of Blockchain and Machine Learning, and explores these issues with an eye on improving clinical outcomes and imp…
In this book, the contributors show how brain-signal processing can be used to drive a human-computer interface (HCI) using processing results from a single modality or a combination. They present concrete usage scenarios and applications in multimedia interfaces, drawing on a w…
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 consists of 15 chapters dealing with the following subjects: hardware security threats; IP/IC piracy threats of reversible circuits; persistent fault analysis on block ciphers; EMC techniques in design of IC chips; hardware obfuscation for IP protection; formal verifica…
This book has 40 chapters and is divided into 10 sections. The first section which is about Multi-beam Satellite Systems deals with; Symbol vs block level precoding in multi-beam satellite systems; Hardware Demonstration of Precoded Communications in Multi-Beam UHTS; On the capa…
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…
Introduction / Gündhan Dündar and Mustafa Berke Yelten -- Response surface modeling / Jun Tao, Xuan Zeng, and Xin Li -- Machine learning / Olcay Taner Yıldız -- Data-driven and physics-based modeling / Slawomir Koziel -- Verification of modeling : metrics and methodologies / Ahm…
This book provides a holistic view of modelling for analogue, high frequency, mixed signal, and heterogeneous systems for designers working towards improving efficiency, reducing design times, and addressing the challenges of representing aging, variability, and other technical …
This book discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The book provides an overview of this emerging field, from principles to applications, for researchers, postgraduate students and engineers …
The ICT industry is a major consumer of global energy. The energy crisis, global warming problems, dramatic growth in data traffic and the increased complexity of emerging networks are pushing academic and industry research towards the development of energy-saving and energy-eff…
The book reviews developments in the following fields: optimal adaptive control; online differential games; reinforcement learning principles; and dynamic feedback control systems
The book reviews developments in the following fields: optimal adaptive control; online differential games; reinforcement learning principles; and dynamic feedback control systems.
Modular approaches are widely used methods in AI and engineering. This approach reduces the difficulty of solving a complex problem by subdividing the problem into several smaller parts, i.e. modules, and tackle each independently. In this dissertation, we show how modular appro…
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…
In such an era of big data where data mining and data analysis technologies are effective approaches for wireless system evaluation and design, the applications of machine learning in wireless communications have received a lot of attention recently. Machine learning provides fe…
