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Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications
The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.
Intelligent Systems and IoT Applications in Clinical Health
Integrating intelligent systems and internet of things (IoT) into clinical health is crucial for enhancing patient care and operational efficiency. These technologies enable real-time data collection and analysis, facilitating personalized treatment plans and improving diagnostic accuracy. Together innovations can streamline workflows, reduce costs, and ultimately lead to better health outcomes for patients. It is essential to explore how these technologies can be implemented into healthcare. Intelligent Systems and IoT Applications in Clinical Health explores and elucidates the integration of AI, IoT, and blockchain technologies in healthcare. It advances current research by providing comprehensive insights into how these technologies can be leveraged to enhance patient care, improve operational efficiency, and ensure data security. Covering topics such as clinical healthcare, digital health experience, and monitoring systems, this book is an excellent resource for researchers, academicians, medical professionals, medical administrators, educators, graduate and postgraduate students, and more.
Willingness to Communicate, Multilingualism and Interactions in Community Contexts
This book presents the findings of an in-depth qualitative longitudinal investigation into the willingness to communicate (WTC) of individuals who, through varying migration channels, left one cultural/linguistic context to make a new life in another. It examines communication behaviours and language choice in multilingual community contexts and emphasises how even the most trivial of communication events are embedded in histories of previous communication and are influenced by emotions connected with a person’s overall life situation. The book fills a gap in contemporary WTC research by examining how WTC operates in multilingual community contexts. Through the use of a complexity lens and the presentation of a revised 3D pyramid model, the authors demonstrate the dynamic nature of WTC and shed new light on processes that affect communication, migration and well-being. This book will be of interest to researchers seeking to explore individual differences using context sensitive and temporally focused designs.
Cognitive Machine Intelligence
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine lear...
Federated Learning for Neural Disorders in Healthcare 6.0
This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer’s disease using neural networks and ensuring data privacy and security in federated learning for neural disorders. This book: Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders Focuses on combining federated learning with magn...
The Abortive Revolution
Preliminary Material -- "The Revolution Has Failed" -- The Blue Shirts and Fascism -- The Fukien Rebellion -- Democracy and Dictatorship: Competing Models of Government -- Nanking and the Economy -- On the Eve of the War -- Social Traits and Political Behavior in Kuomintang China -- Abbreviations Used In the Notes -- Notes -- Appendix to the Paperback Edition -- Bibliography -- Glossary -- Index -- Harvard East Asian Monographs.
Élitist Fascism
A study of the Blueshirts, a semi-secret organization that existed from 1932 until 1938, that espoused fascist tendencies developed primarily from the Japanese - but also from the European - model.
