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This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain. The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.
The book is a collection of best selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2021), held in Government Engineering College Bikaner, Bikaner, India, during 20–21 December 2021. The book covers ICT-based approaches in the areas of ICT for energy efficiency, life cycle assessment of ICT, green IT, green information systems, environmental informatics, energy informatics, sustainable HCI or Artificial intelli computational sustainability.
New Challenges for Future Sustainability and Wellbeing is a collection of studies about sustainability and related challenges, such as income, wealth, the environment, education and regional equality that influence the pace of economic development and affects the well-being of people and organisations all over the world.
MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book. This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatics, to construct a global multidisciplinary forum. Audience The core audience comprises researchers and industry engineers, scientists, radiologists, healthcare professionals, data scientists who work in health informatics, computer vision and medical image analysis.
This book presents revised versions of tutorial lectures given at the IEEE/CS Symposium on modeling, analysis, and simulation of computer and telecommunication systems held in Orlando, FL, USA in October 2003. The lectures are grouped into three parts on performance and QoS of modern wired and wireless networks, current advances in performance modeling and simulation, and other specific applications of these methodologies. This tutorial book is targeted to both practitioners and researchers. The practitioner will benefit from numerous pointers to performance and QoS issues; the pedagogical style and plenty of references will be of great use in solving practical problems. The researcher and advanced student are offered a representative set of topics not only for their research value but also for their novelty and use in identifying areas of active research.
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23–24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2022), organized by National Institute of Technology, Silchar, Assam, India, during December 2123, 2022. The book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Welcome to the world of Oxytocin and Social Function, an in-depth exploration of the powerful role of this neuropeptide in shaping our social behaviors and interactions. The book delves into the rich and complex relationship between oxytocin and our social functions. Featuring contributions from leading experts in the field, this book offers a comprehensive understanding of oxytocin’s role in our social lives. It goes beyond the laboratory to explore the hormone’s potential in real-world applications. The book also highlights recent research on oxytocin’s role in enhancing empathy, reducing stress, and promoting overall well-being. With this book, readers will gain a deeper understanding of the intricate workings of oxytocin and how it shapes our social behaviors and relationships. Oxytocin and Social Function is a must-read for anyone interested in human behavior, psychology, neuroscience, or the ever-growing field of oxytocin research. Turn the page and embark on a captivating journey into the hidden potentials of oxytocin and its transformative effects on our social function.
From Federal Express's package tracking Website, to Amazon.com, netcentric computing has been evolving, slowly-but-surely, one solution at a time, since the early 1990s. Over the past year or so, the trickle has grown into a torrent of netcentric innovations of wider and wider scope, developed in companies around the globe. Now, a new enterprise computing paradigm has sprung into being. Until now, there has been no comprehensive netcentric model, clearly defined netcentric system architecture, or established set of guiding principles to help you gear up for this next stage in the evolution of enterprise computing. written by the experts at Andersen Consulting, Netcentric and Client/Server Computing: A Practical Guide, offers you this and more. Of course, a book can never take the place of experts who wrote it, but this revised, updated, and expanded edition of Andersen Consulting's noted guide is an important first step in acquiring the knowledge and skills you need to bring netcentric capabilities into your organization. You'll learn from 13 acknowledged world experts what netcentric computing is, how it works, and how you can use it to provide your organization with an unstoppable competitive edge. Based upon their experiences with mission-critical netcentric implementations at 100 of the most successful business organizations on the planet, these experts explain how netcentric computing can help you enable new business capabilities. Using dozens of fascinating case examples, they show you how to seamlessly integrate computing, communications, and knowledge resources in order to forge solid links among your company's employees, units, customers, suppliers, and partners, regardless of time, location, device, or content. And, they provide priceless advice and guidance on how to exploit the endless array of possibilities provided by netcentric computing to develop exciting new customer services, identify new markets, cut costs, engineer internal processes for improved business performance, and more. Netcentric and Client/Server Computing is divided into four, self-contained sections for ease of reference. Section I introduces you to basic netcentric principles and concepts, provides an overview of state-of-the-art in netcentric computing models, and develops a solid business case for netcentric computing. Section II acquaints you with the various technologies involved and describes a comprehensive netcentric architecture. Section III is devoted to crucial analysis, design, and implementation issues, including design specifics for architectures, applications, and networks; rollout strategies; and ongoing management of distributed operations. Section IV explores emerging technologies and their likely impact on the future of netcentric computing.