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Human society is ushering into an intelligent society from an information society, in which computing has become a key element in formulating and promoting the development of society. In the new era of digital civilization with the internet of all things, traditional computing on data is far from being able to meet the growing endevour for a higher level of intelligence by humans. The growing interest in intelligent computing, coupled with the development of computing science, the intelligent perception of the physical world, and the understanding of the cognitive mechanism of human consciousness, has collectively elevated the intelligence level of computing and accelerated the discovery and creation of knowledge. Intelligent computing is task-oriented; it matches computing resources and realizes automatic demand calculation and precise system reconstruction. The system architecture is constantly adjusted to the task execution. Directed coupling reconstruction is performed at the software and hardware levels. Automation of the computing process includes automatic resource management and scheduling, automatic service creation and provision, and automatic management of the task life cycle, which is the key to evaluating the friendliness, availability, and service of intelligent computing. The precision of computing results anchors computing services; besides, it solves difficulties, including fast processing of computing tasks and timely matching of computing resources. The book is collection of selected papers accepted for presentation during Avdharan-2023. The objective is to highlight the research pursued by scholars these days in India. It is likely that these researches may give insight for future research and fraternity of researchers is benefitted.
This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics
This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.
The pervasive influence of technology continuously shapes our daily lives. From smartphones to smart homes, technology is revolutionizing the way we live, work and interact with each other. Human-computer interaction (HCI) is a multidisciplinary research field focusing on the study of people interacting with information technology and plays a critical role in the development of computing systems that work well for the people using them, ensuring the seamless integration of interactive systems into our technologically driven lifestyles. The book series contains six volumes providing extensive coverage of the field, wherein each one addresses different theoretical and practical aspects of the HCI discipline. Readers will discover a wealth of information encompassing the foundational elements, state-of-the-art review in established and emerging domains, analysis of contemporary advancements brought about by the evolution of interactive technologies and artificial intelligence, as well as the emergence of diverse societal needs and application domains. These books: · Showcase the pivotal role of HCI in designing interactive applications across a diverse array of domains. · Explore the dynamic relationship between humans and intelligent environments, with a specific emphasis on the role of Artificial Intelligence (AI) and the Internet of Things (IoT). · Provide an extensive exploration of interaction design by examining a wide range of technologies, interaction techniques, styles and devices. · Discuss user experience methods and tools for the design of user-friendly products and services. · Bridge the gap between software engineering and human-computer interaction practices for usability, inclusion and sustainability. These volumes are an essential read for individuals interested in human-computer interaction research and applications.
This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK, in August/September 2015. The 42 full papers presented were carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing.
Human-Computer Interaction (HCI) is a multidisciplinary research and applied field targeted to studying people interacting with information technology and designing usable and efficient systems for them. This book outlines the state‐of‐the‐art of HCI research in the respective domain such as health, games, transportation, industry, and entertainment. This book Bridges the gap between theory and practice by presenting how to apply HCI methods and tools in specific domains. Offers concrete examples of HCI use in real-world situations. Presents case-specific best practices, tips, and tricks. Includes chapters that are well-studied and purposefully selected, representing important theoretical, practical, and research areas in HCI. Includes domains ranging from the roots and the classic approaches of human-computer interaction to contemporary advancements. This book is a fascinating read for individuals interested in Human-Computer Interaction research and applications.
In today's world, the pressing challenges of sustainable development and societal progress demand innovative solutions that harness the power of science and technology. From climate change to resource depletion and social inequalities, the urgency to find sustainable, intelligent, and ethical approaches has never been greater. Academic scholars and researchers play a crucial role in driving these advancements but often struggle to find comprehensive resources that bridge the gap between theory and real-world applications. The need of the hour is a definitive guide that unites expertise from diverse disciplines and offers practical insights into leveraging sustainable science and intelligent technologies to create meaningful societal development. Sustainable Science and Intelligent Technologies for Societal Development, edited by Brojo Kishore Mishra of GIET University, India, is the much-awaited solution to the challenges faced by academic scholars and researchers. This persuasive book brings together an esteemed collection of leading experts, academics, and industry professionals, all dedicated to addressing global challenges through the lens of applied sciences and intelligent technology applications. By presenting a wide range of innovative topics, such as renewable energy, smart healthcare, sustainable finance, and more, the book serves as a comprehensive resource that empowers scholars with actionable knowledge and innovative ideas. The book not only covers the theoretical aspects but also delves into the ethical considerations essential in shaping the future. In a world increasingly dependent on technology, it is vital to ensure that societal development aligns with principles of inclusivity, fairness, and environmental responsibility. With a focus on the United Nations Sustainable Development Goals (SDGs), the book provides a clear roadmap for scholars to contribute meaningfully to global progress. By offering concrete examples and real-world case studies, the book enables researchers to grasp the potential impact of their work, fostering collaborations that transcend traditional disciplinary boundaries. Sustainable Science and Intelligent Technologies for Societal Development is the go-to resource for academic scholars, scientists, researchers, innovators, industry professionals, and students who seek to be effective in the world. As a comprehensive guide that blends sustainable science and intelligent technologies with ethical considerations, this book equips its readers to create tangible solutions that address pressing global challenges. Through collective knowledge and interdisciplinary collaboration, this book stands as a beacon of hope and inspiration for driving meaningful societal development, paving the way for a more sustainable and prosperous future.
This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.
This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.