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Author: Andriy Luntovskyy
Publisher: Springer Nature
ISBN: 3031612213
Category :
Languages : en
Pages : 918
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Book Description
Author: Andriy Luntovskyy
Publisher: Springer Nature
ISBN: 3031612213
Category :
Languages : en
Pages : 918
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Book Description
Author: Mohamed Ben Ahmed
Publisher: Springer Nature
ISBN: 3031538242
Category :
Languages : en
Pages : 637
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Book Description
Author: Mohamed Ahmed Alloghani
Publisher: Springer Nature
ISBN: 3031452143
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Author: Cybellium
Publisher: Cybellium
ISBN: 1836797591
Category : Computers
Languages : en
Pages : 227
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Book Description
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Carolina Machado
Publisher: Springer Nature
ISBN: 3030980405
Category : Technology & Engineering
Languages : en
Pages : 194
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Book Description
This book discusses and exchanges information on principles, strategies, models, techniques, methodologies and applications of technological challenges in a digital era. It helps the reader to develop the skills required in the digital age and to acquire the knowledge and know-how necessary to drive their organizations to success. This book presents contributions that are exceptional in terms of theory and/or practice in the area of human resources management, technological management, digital age, creativity, technological innovation, organizational innovation, business analytics and flexibility.
Author: Hassan, Ahdi
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 471
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Book Description
In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.
Author: Baumann, Sabine
Publisher: Edward Elgar Publishing
ISBN: 1839107197
Category : Business & Economics
Languages : en
Pages : 784
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Book Description
This timely Handbook on Digital Business Ecosystems provides a comprehensive overview of current research and industrial applications as well as suggestions for future developments. Multi-disciplinary in scope, the Handbook includes rigorously researched contributions from over 80 global expert authors from a variety of areas including administration and management, economics, computer science, industrial engineering, and media and communication.
Author: Pradeep Kumar Singh
Publisher: Springer Nature
ISBN: 3031357833
Category : Computers
Languages : en
Pages : 386
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Book Description
This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.
Author: Marina Zhang
Publisher: Oxford University Press
ISBN: 0198861176
Category : Business & Economics
Languages : en
Pages : 305
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Book Description
China's extraordinary economic development is explained in large part by the way it innovates. Contrary to widely held views, China's innovation machine is not created and controlled by an all-powerful government. Instead, it is a complex, interdependent system composed of various elements, involving bottom-up innovation driven by innovators and entrepreneurs and highly pragmatic and adaptive top-down policy. Using case studies of leading firms and industries, along with statistics and policy analysis, this book argues that China's innovation machine is similar to a natural ecosystem. Innovations in technology, organization, and business models resemble genetic mutations which are initially random, self-serving, and isolated, but the best fitting are selected by the market and their impacts are amplified by the innovation machine. This machine draws on China's multitude manufacturers, supply chains, innovation clusters, and digitally literate population, connected through super-sized digital platforms. China's innovation suffers from a lack of basic research and reliance upon certain critical technologies from overseas, yet its scale (size) and scope (diversity) possess attributes that make it self-correcting and stronger in the face of challenges. China's innovation machine is most effective in a policy environment where the market prevails; policy intervention plays a significant role when market mechanisms are premature or fail. The future success of China's innovation will depend on continuing policy pragmatism, mass innovation, and entrepreneurship, and the development of the 'new infrastructures'.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
