This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
This book provides comprehensive coverage of different aspects of low-power circuit synthesis for IoT applications at various levels of the design hierarchy, starting from the layout level to the system level. For a seamless understanding of the subject, the basics of MOS circuits have been introduced at the transistor, gate and circuit level, followed by various low-power design methodologies, such as supply voltage scaling, switched capacitance minimization techniques, and leakage power minimization approaches. The contents of this book are useful to students, researchers, as well as practicing engineers. Low-power architectures refer to the latest development in computer microchips which are created by integrating hundreds of thousands of transistors on one chip for different IoT applications. Emerging research in this area has the potential to uncover further applications for IoT in addition to system advancements.
The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems. This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas. The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more. Audience Because of the book's multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
This proceedings book of ICES 2023 presents the most recent studies on environmental sciences and environmental sustainability, which contributes to the resolution of environmental issues (air pollution, water pollution, soil pollution, noise pollution, thermal pollution, radioactive pollution, light pollution, and global warming). The discharge of environmental pollutants from industrial, commercial, residential, and sensible locations must be handled with care, since it may harm the air, water, and land if not adequately treated. As a result of the enormous volume of wastewater and environmental pollution generated daily, the majority of designs and developments of wastewater technologies and environmental treatment were unable to handle the load. This is a threat to sustainable growth, and it must be resolved in a precise, dependable, urgent, and timely manner. Sustainable creative and technical transfer approaches that can be utilized for supporting, operationalizing, and providing sustainable wastewater and environmental treatment solutions are of interest to us. The authors hope that the book covers the possible spectrum of wastewater technologies and environmental treatment up to a high level of environmental protection, clean and green management lessons, identify the barriers to transformational change, and then inform the agenda and initiatives for sustainable development. ICES 2023 is devoted to wastewater technology and environmental treatment, with an emphasis on environmental protection at the highest level. ICES 2023 aims to disseminate current knowledge and sustainable development, share experience and lessons gained, and generate conversation and reflection in order to promote a paradigm shift that is sustainable. With the distribution of sustainable wastewater technology and environmental treatment, the ultimate goal is to bring revolutionary change to sustainable development.
