Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
This book presents special systems derived from industrial models, including the complex saturation nonlinear functions and the delay nonlinear functions. It also presents typical methods, such as the classical Liapunov and Integral Inequalities methods. Providing constructive qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise model systems for modern saturation nonlinear techniques, which have the potential for future applications. This book is a valuable guide for researchers and graduate students in the fields of mathematics, control, and engineering.
China's remarkable economic transition and capacity for dynamic growth has stunned the world. Throughout the period of economic reform, China has been moving towards the creation of a labour market. The scale of this transformation is unprecedented. New economic incentives, vast labour migration, draconian retrenchment of state workers, and sharply rising wage inequality are all characteristic of this unique transition. Drawing on more than a decade of survey-based research, the authors systematically document and analyse this important transformation. They use economic and sociological theory, institutional analysis and political economy to fully explain the causes, pressures, obstacles and consequences of the move towards a labour market in China. It is argued that much progress has been made towards the creation of a labour market but that the process is far from complete.
This volume provides an overview of the latest research findings on the physics, physiology, and psychology of food oral consumption, as well as the experimental techniques available for food oral studies. Coverage includes the main physical and physiological functionalities of the mouth; the location and functionalities of various oral receptors; the main sequences of eating and drinking, and the concomitant food disintegration and destabilisation. Chapters also explain oral processing and its relation to flavour release and texture perception, and there is an introduction to the principles of food rheology as they relate to eating. Food Oral Processing is directed at food scientists and technologists in industry and academia, especially those involved in sensory science and new product development. It will also be of interest to oral physiologists, oral biologists and dentists. The book will be a useful reference for undergraduate and postgraduate students of these disciplines.
This book covers the basic principles and application of nanoindentation technology to determine residual stresses in films and coatings. It briefly introduces various detection technologies for measuring residual stresses, while mainly focusing on nanoindentation. Subsequently, nanoindentation is used to determine residual stresses in different types of films and coatings, and to describe them in detail. This book is intended for specialists, engineers and graduate students in mechanical design, manufacturing, maintenance and remanufacturing, and as a guide to the practice of production with social and economic benefits.
Storytelling in World Cinemas, Vol. 2: Contexts addresses the questions of what and why particular stories are told in films around the world, both in terms of the forms of storytelling used, and of the political, religious, historical, and social contexts informing cinematic storytelling. Drawing on films from all five continents, the book approaches storytelling from a cultural/historical multidisciplinary perspective, focusing on the influence of cultural politics, postcolonialism, women's social and cultural positions, and religious contexts on film stories. Like its sister volume, Storytelling in World Cinemas, Vol. 1: Forms, this book is an innovative addition to the academic study of world cinemas.
A guide to Arabic syntax covering a broad variety of topics including argument structure, negation, tense, agreement phenomena, and resumption. The discussion of each topic sums up the key research results and provides new points of departure for further research.
This book focuses on typical health services and remote monitoring methods, such as visual recognition and deep learning. Chiefly addressing the design and simulation of rehabilitation devices, and the evaluation of their effects on various diseases, it offers a valuable resource for professional researchers and graduate students in the fields of elderly medicine, signal processing, and rehabilitation.
The treatment of ophthalmologic diseases with TCM is a unique specialty in which most practitioners of Chinese medicine have little confidence in eye diseases, occurring independently or as a complication of other diseases, plague millions around the world and can sometimes lead to blindness. Using the benefits of Chinese medicine to facilitate recovery or alleviate suffering from this category of often debilitating disease is a wonderful gift to share with all medical professionals. With the aid of this carefully edited text representing the standard TCM approach to treating eye disorders in China, doctors of Chinese medicine can now learn how to effectively treat or slow the progression of eye diseases. We are sorry that the DVD content are not included.
This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
This brief provides a comprehensive review of lignocellulosic materials and their primary role in the future development of bio-based packaging. Topics such as: sources and extraction methods of lignocellulosic materials; main constituents of lignocellulosic materials; functionality of lignocellulosic materials; the development of bio-based and biodegradable packaging; incorporation of lignocellulosic materials in bio-based packaging materials; properties and functionality of bio-based packaging, are discussed by authors who are experts in the field.
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.