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Intelligent Algorithms in Ambient and Biomedical Computing

. It offers exciting and practical examples of the use of intelligent algorithms in ambient and biomedical computing. It contains topics such;

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High-Performance Computing in Biomedical Research

Leading researchers have contributed state-of-the-art chapters to this overview of high-performance computing in biomedical research. The;

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Biomedical Applications Based on Natural and Artificial Computing

; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and;

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Intelligent Computing Theories and Methodologies

optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle;

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Intelligent Computing Theories and Methodologies

optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle;

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Smart Computational Intelligence in Biomedical and Health Informatics

Covers evolutionary approaches to solve optimization problems in biomedical engineering. Discusses IoT, Cloud computing, data analytics;

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Bioinformatics and Biomedical Engineering

Biomedical Engineering, IWBBIO 2015, held in Granada, Spain, in April 2015. The 135 papers presented were carefully reviewed and selected from 268;

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Bioinformatics and Biomedical Engineering

Biomedical Engineering, IWBBIO 2015, held in Granada, Spain in April 2015. The 134 papers presented were carefully reviewed and selected from 268;

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Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and;

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Natural and Artificial Computation for Biomedicine and Neuroscience

; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and;

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Recent Studies on Computational Intelligence

, biomedical computing, decision support and decision making. The book is useful for researchers, students, engineers, practitioners and academicians;

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Computer Analysis of Images and Patterns

, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019. The 12 papers presented in this;

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Soft Computing

This book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and;

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Predictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as;

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Advanced Computing in Industrial Mathematics

modeling, machine learning, digitization and imaging, advanced computing in environmental, biomedical and engineering applications.;

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Computational Bioengineering and Bioinformatics

on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure;

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Computational Bioengineering and Bioinformatics

on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure;

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Pervasive Computing

Development (MDD) guideline; wireless sensor networks and pervasive computing; and using pervasive computing in biomedical applications.;

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Bio-Inspired and Nanoscale Integrated Computing

computing at the nanoscale, bringing to light several new and innovative applications such as nanoscale implantable biomedical devices and neural;

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Intelligent Computing in Bioinformatics

; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene;

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Intelligent Computing Technology

, biomedical informatics theory and methods, complex systems theory and methods, pervasive/ubiquitous computing theory and methods, intelligent;

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GPU Computing and Applications

). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3;

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Emerging Intelligent Computing Technology and Applications

Learning Theory and Methods; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Unsupervised and;

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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different;

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Proceedings Fourth International Conference on Information Processing

Recognition Computer Communication Networks Hardware and Optimization Data Mining Software Engineering Distributed Systems Biomedical;

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Bioinformatics and Biomedical Engineering

This book constitutes the refereed proceedings of the 4th International Conference on Bioinformatics and Biomedical Engineering, IWBBIO;

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