This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also addresses the motivations of this monograph. In Chapter 2, the stochastic synchronization issue of Markovian coupled neural networks with partially unknown transition rates and random coupling strengths is investigated. In Chapter 3, the l...

This proceedings constitutes the referred post-conference proceedings of the 16th International Conference on Mobile Multimedia Communications, MOBIMEDIA 2023, held in Guilin, China, during July 22 - 24, 2023.The 35 full papers and 17 short papers presented were carefully selected from 77 submissions. The papers were organized as follows: cutting-edge technologies in wireless communication, in information as well as topics of signal processing and new generation wireless communicat...

This handbook comprehensively covers the rapidly evolving field of power generation using triboelectric nanogenerators. Since their emergence in 2012, triboelectric nanogenerators have experienced fast development both in fundamental science aspects and technological innovations resulting in a plethora of outstanding applications and commercial opportunities in e.g. micro-nano energy systems, self-powered sensors, blue energy, and high-voltage power sources.The Handbook of Triboele...

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, a...

A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and adva...

With rapid technological developments and lifestyle advancements, electronic sensors are being seamlessly integrated into many devices. This comprehensive handbook explores current, state-of-the-art developments in flexible and wearable sensor technology and its future challenges.Numerous recent efforts have improved the sensing capability and functionality of flexible and wearable sensors. However, there are still many challenges in making them super-smart by incorporating feature...

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of the twenty-five chapters includes state-of-the-art descriptions and important research...

This book introduces an innovative and high-efficiency technology for mechanical energy harvesting. The book covers the history and development of triboelectric nanogenerators, basic structures, working principles, performance characterization, and potential applications. It is divided into three parts: Part A illustrates the fundamental working modes of triboelectric nanogenerators with their prototype structures and theoretical analysis; Part B and Part C introduce two categories of appl...

3D Printing: Fundamentals to Emerging Applications discusses the fundamentals of 3D-printing technologies and their emerging applications in many important sectors such as energy, biomedicals, and sensors. Top international authors in their fields cover the fundamentals of 3D-printing technologies for batteries, supercapacitors, fuel cells, sensors, and biomedical and other emerging applications. They also address current challenges and possible solutions in 3D-printing technologi...

This book provides a comprehensive overview of the recent development of flexible electronics. This is a fast evolving research field and tremendous progress has been made in the past decade. In this book, new material development and novel flexible device, circuit design, fabrication and characterizations will be introduced. Particularly, recent progress of nanomaterials, including carbon nanotubes, graphene, semiconductor nanowires, nanofibers, for flexible electronic applications, assem...

Lithium-ion batteries are the most promising among the secondary battery technologies, for providing high energy and high power required for hybrid electric vehicles (HEV) and electric vehicles (EV). Lithium-ion batteries consist of conventional graphite or lithium titanate as anode and lithium transition metal-oxides as cathode. A lithium salt dissolved in an aprotic solvent such as ethylene carbonate and diethylene carbonate is used as electrolyte. This rechargeable battery operates base...

Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of an important step of the model creation, namely finding a minimal number of natural parameters ...