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The Future of Mobile Computing takes readers on a comprehensive journey through the rapidly evolving landscape of mobile technologies. Beginning with a detailed examination of foundational concepts in the field, the book provides insights into the transformative technology of edge computing. The subsequent chapters cover various aspects of mobile computing, addressing topics such as sustainable farming solutions, the latest trends in mobile hardware and design, and the significant role of Artificial Intelligence (AI) in mobile contexts. The book focuses on intelligent mobile assistants, emphasizing the impact of machine learning. Readers will find insights into eco-friendly innovations shaping sustainable mobile technologies and the practical application of mobile computing in smart cities. The book takes a close look at addressing privacy and security challenges, offering robust strategies to safeguard user data. Additional chapters provide information on the transformative potential of augmented reality and virtual reality in modern mobile computing environments. Innovative approaches, such as multimodal AI-embedded blockchain security for smart student monitoring is explored, as is a unique intersection of mobile computing and mental health analysis. The book concludes with a forward-looking exploration of transformative technologies and their integration with mobile computing, providing valuable insights into navigating the innovation frontier. Overall, the book serves as an accessible and essential resource for individuals seeking a comprehensive understanding of mobile technologies in the years ahead.
The book “The Future of Mobile Computing,” comprises 15 chapters that collectively illuminate the evolving landscape of mobile technology. Chapter 1, delves into a Systematic Literature Review of Edge Computing, and lays the groundwork for understanding the cutting-edge concepts shaping the future. Chapter 2 introduces a Taxonomy of Edge Computing, providing readers with a structured framework to navigate this transformative field. Chapter 3, deals with Edge Computing’s impact on enterprises and personal tech applications. Chapter 4 explores Smart Agriculture, mobile solutions for sustainable farming practices and contributing to a greener future. Shifting the focus to hardware and design trends, Chapter 5 focuses on Emerging Trends that will shape the devices of tomorrow. Chapter 6 brings the forefront to the symbiotic connection between Artificial Intelligence and Mobile Computing, highlighting how AI significantly transforms and enhances the capabilities of mobile applications. Chapters 7 and 8 delve into Intelligent Mobile Assistants and Edge Computing Technology, respectively, exploring the power of Machine Learning and navigating opportunities, issues, and future trends in edge computing.
Chapter 9 focuses on Sustainable Mobile Technologies, unveiling eco-friendly innovations for a more environmentally conscious mobile future. Chapter 10 examines The Application of Mobile Computing in a Smart City, where technology converges with urban planning. Privacy and security concerns are addressed in Chapter 11, offering strategies for safeguarding user data in the realm of mobile computing. Chapter 12 explores augmented and virtual reality, shaping perspectives in modern mobile computing environments. Chapters 13 and 14 delve into innovative approaches at the intersection of technology and well-being, exploring AI-embedded blockchain security for smart student monitoring and enhanced computational analysis of anxiety and sadness in the context of mobile computing and mental health. Finally, Chapter 15 navigates the Innovation Frontier, providing a comprehensive exploration of transformative technologies and their integration with mobile computing.
Preface
A Systematic Literature Review of Edge Computing
A Taxonomy of Edge Computing
Edge Computing: Transforming Enterprises and Personal Tech Applications
Smart Agriculture: Mobile Solutions for Sustainable Farming
Emerging Trends in Mobile Hardware and Design
The Role of AI In Mobile Computing
Intelligent Mobile Assistants: The Power of Machine Learning
Edge Computing Technology: Opportunities, Issues and Future Trends
Sustainable Mobile Technologies: Eco-Friendly Innovations for the Future
The Application of Mobile Computing in a Smart City
Privacy and Security in Mobile Computing: Strategies for Safeguarding User Data
Shaping Perspectives: Navigating Augmented Reality and Virtual Reality in Modern Mobile Computing Environments
Multimodal AI-Embedded Blockchain Security Approach for Smart Student Monitoring
EmoLex-Enhanced Computational Analysis of Anxiety and Sadness: A Mobile Computing Approach at the Intersection of Mental Health
Navigating the Innovation Frontier: A Comprehensive Exploration of Transformative Technologies and Their Integration with Mobile Computing