Showing results for "junyi wang"
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- Series -
- Engineering (R0)
2023
EN
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...
Mobile Multimedia Communications
16th EAI International Conference, MobiMedia 2023, Guilin, China, July 22-24, 2023, Proceedings
2024
EN
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...
2023
EN
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...
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2008
EN
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...
- Series -
- Wiley Series in Display Technology
2018
EN
An extensive introduction to the engineering and manufacture of current and next-generation flat panel displaysThis book provides a broad overview of the manufacturing of flat panel displays, with a particular emphasis on the display systems at the forefront of the current mobile device revolution. It is structured to cover a broad spectrum of topics within the unifying theme of display systems manufacturing. An important theme of this book is treating displays as ...
2021
EN
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...
Flexible and Wearable Sensors
Materials, Technologies, and Challenges
2023
EN
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...
- Series -
- Engineering (R0)
2013
EN
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...
2016
EN
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...
Optimization in Engineering Sciences
Exact Methods
2013
EN
The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research on Intelligent Information Technologies), funded by the EU’s FP7 Research Potential program and developed in cooperation between French and Romanian teaching researchers.Through the principles of various proposed algorithms (with additional references) this book allows the interested ...
3D Printing
Fundamentals to Emerging Applications
2023
EN
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...
Neural-Based Orthogonal Data Fitting
The EXIN Neural Networks
2011
EN
The presentation of a novel theory in orthogonal regressionThe literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem.The book proposes several neural networks, all endowed with a co...











