Condition Monitoring Using Computational Intelligence Methods

Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesia

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

This book, which is the first volume of Biomedical Translational Research, summarizes emerging technologies in healthcare. The book reviews the advancements in biomedical sciences in genomics, immunology, stem cell, tissue engineering, nanotechnology, computational and structural biology, biomedical engineering, and telemedicine biology. The book highlights the applications of artificial intelligence in the diagnosis of infectious diseases and examines the role of system biology approaches for understanding human complexity, variability, and its influence on health and diseases. It presents the applications of flow cytometry in monitoring the progression and treatment of disease. It covers emerging technologies in cancer research, including CRISPR-Cas9, NGS, and nanotechnology. This book is a useful source of information for clinical researchers, basic scientists, biomedical engineers, and computational biologists.