Lina Yao – författare

Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things).

With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact.

Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research.

Offers a comprehensive and systematic presentation of the methodologies, technologies, and applications that enable efficient and effective management of the Internet of Things Provides an in-depth analysis on the state-of-the-art Web of Things modeling and searching technologies, including how to collect, clean, and analyze data generated by the Web of Things Covers system design and software building principles, with discussions and explorations of social impact for the Web of Things through real-world applications Acts as an ideal reference or recommended text for graduate courses in cloud computing, service computing, and more

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 datasets. 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.

This book constitutes the proceedings of the 20th International Conference on Service-Oriented Computing, ICSOC 2022, held in Seville, Spain, in November -December 2022.The 29 full, 15 short, and 4 vision papers included in this volume were carefully reviewed and selected from 221 submissions.

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. Pattern Mining; Graph Mining; Image, Multimedia and Time Series Data Mining;

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. Pattern Mining; Graph Mining; Image, Multimedia and Time Series Data Mining;

This book provides a comprehensive overview of the latest research progress in addressing the challenges faced by the support for aging population. It covers a broad spectrum of technologies, including the Internet of Things (IoT) and Artificial Intelligence (AI), that are pivotal in supporting older people in their daily lives. The book delves into various domains such as human activity recognition, indoor localization, cognitive activity recognition, and AI-empowered health and identity management solutions. Additionally, it explores the integration of brain-computer interfaces and the development of intent-aware interactive robot-assisted systems, offering insights into how these cutting-edge technologies can be harnessed to enhance the quality of life for the older population.This book is a collection of 15 chapters that summarize the decade-long research activities and results from the authors on tackling smart aging challenges. The book provides a detailed exposition of the latest research activities and technological breakthroughs in smart aging, and aims to bridge the gap between advanced technologies and their practical applications in enhancing the daily lives of older people. From this book, readers will be able to gain not only a wide range of topics and the corresponding technological advancements, but also a comprehensive understanding of how various technologies can be harmonized to create effective and practical smart aging solutions.