This book offers a groundbreaking exploration of how Extended Reality (XR) technologies can drive environmental sustainability. By integrating virtual, augmented, and mixed realities, it provides innovative solutions ...
详细信息
ISBN:
(数字)9783031880131
ISBN:
(纸本)9783031880124;9783031880155
This book offers a groundbreaking exploration of how Extended Reality (XR) technologies can drive environmental sustainability. By integrating virtual, augmented, and mixed realities, it provides innovative solutions to enhance understanding and inspire action on environmental issues. The text is meticulously curated to cover the multifaceted applications of XR, from revolutionizing environmental practices with deep learning to leveraging quantum computing for sustainable solutions. It highlights the synergy between XR and artificial intelligence in optimizing supply chains and enhancing data analytics. Aimed at researchers, practitioners, and policymakers, this resource underscores the critical role of XR in environmental advocacy, emphasizing its potential in effective communication and behavior change. The book also delves into immersive education, fostering a culture of environmental stewardship through experiential learning. Ultimately, it calls for interdisciplinary collaboration to address pressing environmental challenges, envisioning a future where XR technologies are pivotal in safeguarding our planet.
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperati...
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ISBN:
(数字)9783031814815
ISBN:
(纸本)9783031814808;9783031814839
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of informationsystems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats.
This book presents an investigation of empirical and theoretical data pertaining to wealth issues based on Digital Platforms and Deployment of Artificial Intelligence across a range of Domains.Digital technologie...
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ISBN:
(数字)9783031865473
ISBN:
(纸本)9783031865466;9783031865497
This book presents an investigation of empirical and theoretical data pertaining to wealth issues based on Digital Platforms and Deployment of Artificial Intelligence across a range of Domains.
Digital technologies have rapidly transformed human existence, giving rise to a series of questions surrounding the nature of this transformation, the possible advantages and disadvantages of these technologies, and their potential implications and the directions they may lead us in. The identification of these consequences necessitates coordinated and interdisciplinary research efforts, given the common nature of digitalisation and its deep convergence of various scientific fields.
The objective of this book is to provide a foundation for continuous learning and research, thereby equipping readers with the requisite knowledge, instruments and understanding to remain at the forefront of this rapidly evolving environment. The publication of "Digital Technology Platforms and Deployment" serves as a valuable resource for a diverse audience, including students, researchers and scientists specialising in areas such as Healthcare and Population, Computer Science, A
rtificial
I
ntelligence
, Education and engineering. It is equally suitable for experts and
academics/
scientists from various scientific disciplines, since it serves as a catalyst for thinking and searching for new areas of research.
“Artificial Intelligence (AI) in Healthcare informationsystems: Security and Privacy Challenges” offers a deep dive into the integration of AI in healthcare, with a primary focus on addressing the significant secur...
详细信息
ISBN:
(数字)9783031844041
ISBN:
(纸本)9783031844034;9783031844065
“Artificial Intelligence (AI) in Healthcare informationsystems: Security and Privacy Challenges” offers a deep dive into the integration of AI in healthcare, with a primary focus on addressing the significant security and privacy concerns that arise in this domain. The chapters in this book highlight the transformative potential of AI in diagnosing and predicting diseases, as well as its impact on fields like fetal medicine, but places special emphasis on the need for robust encryption, data protection techniques, and ethical considerations to safeguard sensitive healthcare data. The book also explores global case studies, from India to Kazakhstan, outlining the challenges and prospects of AI adoption in diverse healthcare settings. Readers will gain insights into AI's role in improving patient outcomes while navigating the complexities of data privacy and security. The book is a valuable resource for healthcare professionals, technologists, and policymakers who are focused on implementing AI-driven solutions securely and ethically in healthcare systems.
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