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Biosignal Processing and Classification Using Computational Learning and Intelligence

Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an;

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Predictive Intelligence in Biomedical and Health Informatics

intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to;

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Biosignalverarbeitung

The principles of biosignal processing and its practical applications are explained using MATLAB. Topics include the emergence;

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Biosignal Processing

opportunities to advance our understanding of underlying biological and physiological functions, structures, and dynamics. Biosignal Processing;

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the;

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Computational Collective Intelligence

-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications;

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Machine Learning Deep Learning and Computational Intelligence for Wireless Comm

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational;

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Advances in Computational Intelligence

learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.;

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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst;

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Advances in Computational Collective Intelligence

: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision;

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Advances in Computational Intelligence

carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and;

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Advances in Computational Intelligence

carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and;

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Computational Intelligence in Image Processing

-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and;

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Foundations of Computational Intelligence

Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods;

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Foundations of Computational Intelligence 01

Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods;

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Advances in Computational Intelligence Systems

classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed;

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Computational Collective Intelligence

This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational;

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Mining Intelligence and Knowledge Exploration

, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence.;

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Computational Intelligence in Pattern Recognition

computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and;

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Proceedings of International Conference on Computational Intelligence and Computing

This book includes the original, peer-reviewed research articles from the International Conference on Computational Intelligence and;

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Machine Intelligence and Signal Processing

in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The;

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Lecture Notes in Computational Intelligence and Decision Making

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the;

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Advances in Computational Intelligence Systems

approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection;

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Mining Intelligence and Knowledge Exploration

, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation;

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Computational Intelligence and Biomedical Signal Processing

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The;

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