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This edited book presents scientific results of the 24th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on December 7–9, 2022, at Taichung, Taiwan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The conference organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the most promising papers are then published in this Springer (SCI) book and not the conference proceedings.
This book explores diverse dimensions of innovation in business and finance from a micro as well as macro perspective through various case studies and analyses of trends. The previous decade is known as the era of digital transformation and innovation. The rise of new technologies is having an impact on the global trends and leading to innovation in business and finance. In this competitive market, businesses and financial institutions must be responsive to the trends in order to survive and thrive, governments must cope with the complex and uncertain environments by being smart, transforming service delivery, and implementing smart governance practices, and entrepreneurs and investors are faced with alternative sources of finance and investment. However, keeping up with these trends and innovations is fraught with its own set of challenges. Thus, it is important to analyze new and emerging technologies and innovations through a myriad of disciplinary lenses. This book not only expands conceptual understanding of digital transformation and innovation by presenting strong empirical evidence, but also by adding to the vigorous worldwide policy discussion on how to assist businesses in the digital transition. The book will be useful to scholars and researchers of business management, financial management, business economics, international business, human resources, and marketing. It will also be of interest to entrepreneurs, policymakers, academicians, and practitioners in the field.
In the past twenty years, contactless technology has been helping us to conduct transactions quickly, easily, and securely. Contactless is here to stay, and it is expected to grow and become even more widely used in the coming years. The COVID-19 pandemic changed the way we work, travel, and connect with family and friends, and it simultaneously revolutionized the way we conduct business and everyday transactions. As technology changes daily, libraries have continued to upgrade. The Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science provides the reader with a variety of emerging trends concerning contactless technology in libraries, information centers, and other enterprises. This book offers chapters on emerging research, surveys, and technology. Covering topics such as digital libraries, metaverse, and security challenges, this major reference work is an essential resource for librarians, information professionals, administrators, students and educators of higher education, researchers, and academicians.
This book constitutes the proceedings of the 17th International Conference on Risks and Security of Internet and Systems, CRiSIS 2022, which took place in Sousse, Tunesia, during December 7-9, 2022. The 14full papers and 4 short papers included in this volume were carefully reviewed and selected from 39 submissions. The papers detail security issues in internet-related applications, networks and systems.
Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance. This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques. This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance. This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.
This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: ​AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.
Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.
This book constitutes refereed proceedings of the 2nd International Semantic Intelligence Conference (ISIC 2022). This book covers a wide range of topics, including semantic web engineering, ontology-based data access, multimodal and multilingual access, machine-to-machine communications and interoperability, knowledge extraction and ontology learning from the web, computational paradigms and computational intelligence, distributed and mobile systems, and many others. This book includes novel contributions and the latest developments from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.