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The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects: Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers ...
With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.
Humans and other living organisms are affected by natural as well as man-made disasters. Most recently, the Covid19 pandemic caused a worldwide healthcare disaster resulting in unprecedented changes in the global economy, the global healthcare system, as well as professional and personal life. The process of recovering from such disasters incurs high costs and time due to the lack of coordination between various relief teams and the inefficient distribution of relief materials such as food, water, and medicine. The prediction or early detection of disasters as well as the prevention of relief fund mismanagement are major concerns for researchers. The Role of Blockchain in Disaster Management...
Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduc...
The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India. This conference is an international forum for industry professionals and researchers to deliberate and state their research findings, discuss the latest advancements and explore the future directions in the emerging areas of engineering and technology. The book presents original work and novel ideas, information, techniques and applications in the field of communication, computing and power technologies.
This book delves into the transformative potential of the Metaverse in the healthcare industry, addressing the challenges and opportunities presented by diverse biomedical data and digital healthcare solutions. The book explores how the convergence of technologies like Artificial Intelligence, Augmented Reality, and Virtual Reality can revolutionize healthcare delivery, enhancing patient outcomes and medical education. Chapters cover topics such as the fundamentals of the Metaverse in healthcare, intelligent healthcare systems architecture, ethical considerations, and the integration of IoT devices. Case studies and real-world applications showcase the Metaverse's role in disease prevention, mental health treatment, medical education, and elderly care, offering valuable insights for researchers, practitioners, and professionals in AI, digital health, and healthcare informatics. Designed as a comprehensive reference for academia, research institutions, and healthcare organizations, the book aims to guide the ethical integration of Metaverse technologies into the healthcare ecosystem to unlock their full potential while ensuring patient privacy and security.
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