The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including: A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.

Maria of Austria was one of the longest surviving Renaissance Empresses but until now has received little attention by biographers. This book explores her life, actions, and management of domestic affairs, which became a feared example of how an Empress could control alternative spheres of power. The volume traces the path of a Castilian orphan infanta, raised among her mother's Portuguese ladies-in-waiting and who spent thirty years of marriage between the imperial courts of Prague and Vienna. Empress Maria encapsulates the complex dynastic functioning of the Habsburgs: devotedly married to her cousin Maximilian II, Maria had constant communication with her father Charles V and her brother Philip II while preserving her Spanish background. Her unique intertwining of roles and positions allows a fresh approach to female agency and the discussion of current issues: the rules of dynastic entente, the negotiation of discreet political roles for royal women, the reassessment of informal diplomacy, and the creation of dynastic networks parallel to the embassies. With chronological chapters discussing Empress Maria's roles such as infanta, regent, Empress, and a widow, this volume is the perfect resource for scholars and students interested in the history of gender, court culture, and early modern Central Europe.

Maria of Austria was one of the longest surviving Renaissance Empresses but until now has received little attention by biographers. This book explores her life, actions, and management of domestic affairs, which became a feared example of how an Empress could control alternative spheres of power. The volume traces the path of a Castilian orphan infanta, raised among her mother's Portuguese ladies-in-waiting and who spent thirty years of marriage between the imperial courts of Prague and Vienna. Empress Maria encapsulates the complex dynastic functioning of the Habsburgs: devotedly married to her cousin Maximilian II, Maria had constant communication with her father Charles V and her brother Philip II while preserving her Spanish background. Her unique intertwining of roles and positions allows a fresh approach to female agency and the discussion of current issues: the rules of dynastic entente, the negotiation of discreet political roles for royal women, the reassessment of informal diplomacy, and the creation of dynastic networks parallel to the embassies. With chronological chapters discussing Empress Maria's roles such as infanta, regent, Empress, and a widow, this volume is the perfect resource for scholars and students interested in the history of gender, court culture, and early modern Central Europe.

This book presents best selected research papers presented at the First International Conference on Integrated Intelligence Enable Networks and Computing (IIENC 2020), held from May 25 to May 27, 2020, at the Institute of Technology, Gopeshwar, India (Government Institute of Uttarakhand Government and affiliated to Uttarakhand Technical University). The book includes papers in the field of intelligent computing. The book covers the areas of machine learning and robotics, signal processing and Internet of things, big data and renewable energy sources.

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields. Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures; Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

This book presents best selected research papers presented at the First International Conference on Integrated Intelligence Enable Networks and Computing (IIENC 2020), held from May 25 to May 27, 2020, at the Institute of Technology, Gopeshwar, India (Government Institute of Uttarakhand Government and affiliated to Uttarakhand Technical University). The book includes papers in the field of intelligent computing. The book covers the areas of machine learning and robotics, signal processing and Internet of things, big data and renewable energy sources.

The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including: A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.

The year 2013 saw the launch of the largest, most influential investment initiative in recent memory: China's Belt and Road Initiative (BRI). This globe-spanning strategy has reshaped local economies and regional networks, and it has become a contested subject for scholars and practitioners alike. How should we make sense of the complex interactions that the BRI has enabled? Understanding these processes requires truly global perspectives alongside careful attention to the role that local actors play in giving shape to individual BRI projects. The contributions in Global Perspectives on China's Belt and Road Initiative: Asserting Agency through Regional Connectivity provide both 'big picture' assessments of China's role in regional and global interactions and detailed case studies that home in on the role agency plays in BRI dynamics. Written by leading area studies scholars with diverse disciplinary expertise, this book reveals how Chinese efforts to recalibrate the world are taken up, challenged, revamped, and reworked in diverse contexts around the world.

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields. Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures; Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. *