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In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.
The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of pro...
This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This third volume of the set comprises 67 papers. The papers are organized in topical sections such as Intelligent Computing in Robotics; Intelligent Computing in Computer Vision; Intelligent Control and Automation; Intelligent Agent and Web Applications; Fuzzy Theory and Algorithms; Supervised Learning; Unsupervised Learning; Kernel Methods and Supporting Vector Machines; Knowledge Discovery and Data Mining; Natural Language Processing and Computational Linguistics; Advances of Soft Computing: Algorithms and Its Applications - Rozaida Ghazali; Advances in Swarm Intelligence Algorithm; Computational Intelligence and Security for Image Applications in SocialNetwork; Biomedical Image Analysis; Information Security; Machine Learning; Intelligent Data Analysis and Prediction.
This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. This second volume of the set comprises 74 papers. The papers are organized in topical sections such as Pattern Recognition; Image Processing; Virtual Reality and Human-Computer Interaction; Healthcare Informatics Theory and Methods; Genetic Algorithms; Blind Source Separation; Intelligent Fault Diagnosis; Machine Learning; Knowledge Discovery and Data...
This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.
Contents: (1) Recent Developments; (2) Background: Saudi Arabia (SA)-U.S. Relations, 1931-2001; 9/11 and its Aftermath; Recent Assessments; Terrorist Financing; (3) Congress. Interest in SA: U.S. Foreign Assist. to SA and Prohibitions; Counter-terrorism Assist.; BAE Corruption Inquiry; (4) Current Issues in U.S.-SA Relations; Mil. Cooperation: Counterterrorism; Al Qaeda; Combating Extremism; Arab-Israeli Conflict; SA-Palestinian Relations; SA Policy Priorities in Iraq; U.S.-SA Trade; U.S. Oil Imports and SA Policy; SA Boycott of Israel and WTO Membership; Human Rights, Religious Freedom, and Political Reform; Leadership and Succession; Social Reform Debates and Recent Leadership Changes; Human Rights; Religious Freedom.
In this volume, world-renowned specialists review the latest scientific information and recommendations for protein and energy requirements of infants and children. New data obtained with the latest techniques show significantly lower requirements for both energy and protein than previously thought. This will have far-reaching implications for nutrition and health, not only during infancy and childhood, but also for long-term health outcomes, such as obesity and related disorders. Indeed for the latest generation of some infant formulas, many of the new nutrition concepts presented in this volume (especially those concerning protein level and quality) have already been translated into clinically tested products that are coming ever closer to the "gold standard" human milk, not only in terms of composition, but also of outcome. The important public health implications of the information reviewed in this volume provide essential reading for pediatricians, clinical investigators and health workers engaged in the prevention of nutrition-related disorders.
The Second International Conference on Innovations in Computing Research (ICR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the innovations in computing technologies. The conference is aptly segmented into six tracks: Data Science, Computer and Network Security, Health Informatics and Medical Imaging, Computer Science and Computer Engineering Education, Internet of Things, and Smart Cities/Smart Energy. These tracks aim to promote a birds-of-the-same-feather congregation and maximize participation. The Data Science track covers a wide range of topics including complexity score for missing data, dee...
Research Methods for Nursing and Healthcare is an essential introductory text for all nursing and healthcare students coming to research methods for the first time or those nurses and healthcare staff wishing to improve their skills in this area. The book includes comprehensive coverage of the main research methods topics, and provides guidance on how to understand and apply research techniques. Everyday nursing examples are used throughout to explain research methods concepts and their relevance to practice. Simple self-assessment tasks are included at the end of chapters; the tests can be undertaken individually, or within groups, to assess the students understanding of the concepts and sk...