2021 International Conference On Innovative Trends In Information Technology Icitiit

The theme is around the state of the art latest technologies in Information technology, computer science and electronics and communication

The International Conference on Innovative Trends In Information Technology (ICITIIT 20) aims at bringing together specialists and researchers who propose innovations in the field of the recent trends of Information Technology such as Data Science, IoT, Cloud, Edge, Fog, Blockchain, and so forth Several researchers and product designers are not aware of the recent trends in the field of IoT, Cloud, and similar technologies The main focus of the conference is to showcase innovations on leading ICT technologies relating to IoT, Cloud, Edge, E Vehicle, and so forth, through this conference

This book features a collection of high-quality, peer-reviewed papers presented at the Second International Conference on Ubiquitous Intelligent Systems (ICUIS 2022) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India, during March 10–11, 2022. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modeling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of Things, wireless communication and storage networks, intelligent information retrieval techniques, AI-based intelligent information visualization techniques, cognitive informatics, smart automation systems, health care informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.

The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. By emphasising the convergence of computer technology and human interaction, readers will learn the concepts of Industry 5.0, from the fundamentals to advanced techniques, with real-world examples and case studies in different industry sectors. The authors equip readers with the knowledge to mitigate risks to ensure success in this complex human and computer synchronisation in the era of Industry 5.0. This collection of writings by experts in their respective fields invites readers to journey through the transition from Industry 4.0 to Industry 5.0. Practical insights are offered alongside cutting-edge applications, such as blockchain, the Internet of Things (IoT), QR code, and augmented reality (AR), as well as the consideration of privacy, trust, and authentication through digital signatures. Such technologies and applications hold much promise to revolutionise industries and drive innovation. Topics in this book include the role of AI in human-computer interaction, efficient asset management using blockchain, computational thinking in program development, synergy of 5G and IoT in healthcare services, advances in increasing data capacity of QR codes, and personalised user experience with augmented reality. The authors also consider the challenges, risks, and concerns of such technologies and their applications in Industry 5.0. This book comprehensively explores Industry 5.0 from a computer science perspective as it delves into the technology aspects and tools for Industry 5.0. It offers readers a detailed understanding of how computer science intersects with Industry 5.0, how to humanise it, and its application to industry. This book has been written for technology professionals and practitioners, especially ones in healthcare, smart systems, and the oil and gas sectors. It will serve as a useful reference for students studying such advanced courses as digital technology, digital transformation, emergent technologies, and innovation through new technologies.

This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing. KEY FEATURES: • Includes fundamental concepts towards advanced applications in machine learning and IoT. • Discusses potential and challenges of machine learning for IoT and optimization • Reviews recent advancements in diverse researches on computer vision, networking and optimization field. • Presents latest technologies such as machine learning in image processing and IoT This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

This book provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. Specifically, it addresses a number of broad themes, including multimodal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multimodal application management; and web/social media mining for multimodal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers, and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.

This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.