Activity Recognition and Prediction for Smart IoT Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Activity Recognition and Prediction for Smart IoT Environments write by Michele Ianni. This book was released on . Activity Recognition and Prediction for Smart IoT Environments available in PDF, EPUB and Kindle.
Activity Recognition and Prediction for Smart IoT Environments
Activity Recognition and Prediction for Smart IoT Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Activity Recognition and Prediction for Smart IoT Environments write by Michele Ianni. This book was released on 2024-08-11. Activity Recognition and Prediction for Smart IoT Environments available in PDF, EPUB and Kindle. This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from industrial to scientific, from business to daily living, from education to government and so on. New algorithms, architectures, and methodologies are proposed, as well as solutions to existing challenges with a focus on security, privacy, and safety. The book is relevant to researchers, academics, professionals and students.
IoT Sensor-Based Activity Recognition
IoT Sensor-Based Activity Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IoT Sensor-Based Activity Recognition write by Md Atiqur Rahman Ahad. This book was released on 2020-07-30. IoT Sensor-Based Activity Recognition available in PDF, EPUB and Kindle. This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.
Activity Recognition in Pervasive Intelligent Environments
Activity Recognition in Pervasive Intelligent Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Activity Recognition in Pervasive Intelligent Environments write by Liming Chen. This book was released on 2011-05-04. Activity Recognition in Pervasive Intelligent Environments available in PDF, EPUB and Kindle. This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars.
Federated Learning for IoT Applications
Federated Learning for IoT Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Federated Learning for IoT Applications write by Satya Prakash Yadav. This book was released on 2022-02-02. Federated Learning for IoT Applications available in PDF, EPUB and Kindle. This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federated learning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.
