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Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data.   The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions.   This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.

Applied physical engineering --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- neuronale netwerken --- beeldverwerking --- fuzzy logic --- cybernetica --- object recognition --- computers --- multimedia --- database management --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- computerkunde --- robots --- data acquisition --- AI (artificiële intelligentie)

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There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction, and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences, and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies, and improve tools and techniques for the detection, prevention and treatment of diseases. The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers, and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology.

Artificial intelligence. --- Bioinformatics. --- Biomedical engineering. --- Biomedical materials. --- Computer science. --- Computer vision. --- Engineering. --- Models, Biological. --- Biomedical engineering --- Technology --- Engineering --- Biology --- Investigative Techniques --- Health Occupations --- Technology, Industry, and Agriculture --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Disciplines and Occupations --- Biological Science Disciplines --- Natural Science Disciplines --- Technology, Industry, Agriculture --- Biomedical Engineering --- Models, Theoretical --- Computational Biology --- Methods --- Biomedical Technology --- Health & Biological Sciences --- Computer simulation. --- Data processing. --- Clinical engineering --- Medical engineering --- Image processing. --- Biomathematics. --- Computational intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Intelligence. --- Computational Biology/Bioinformatics. --- Image Processing and Computer Vision. --- Mathematical and Computational Biology. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Mathematics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Data processing --- Bioengineering --- Biophysics --- Medicine --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Construction --- Industrial arts --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This book discusses recent developments in the vast domain of optimization. Featuring papers presented at the 1st International Conference on Frontiers in Optimization: Theory and Applications (FOTA 2016), held at the Heritage Institute of Technology, Kolkata, on 24–26 December 2016, it opens new avenues of research in all topics related to optimization, such as linear and nonlinear optimization; combinatorial-, stochastic-, dynamic-, fuzzy-, and uncertain optimization; optimal control theory; as well as multi-objective, evolutionary and convex optimization and their applications in intelligent information and technology, systems science, knowledge management, information and communication, supply chain and inventory control, scheduling, networks, transportation and logistics and finance. The book is a valuable resource for researchers, scientists and engineers from both academia and industry.

Operations research --- Mathematics. --- Calculus of variations. --- Operations research. --- Management science. --- Mathematical optimization. --- Calculus of Variations and Optimal Control; Optimization. --- Operations Research, Management Science. --- Continuous Optimization. --- Discrete Optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Simulation methods --- System analysis --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Isoperimetrical problems --- Variations, Calculus of --- Math --- Science

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There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction, and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences, and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies, and improve tools and techniques for the detection, prevention and treatment of diseases. The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers, and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology.

Mathematics --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Biology --- Applied physical engineering --- Computer science --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- neuronale netwerken --- beeldverwerking --- fuzzy logic --- cybernetica --- bio-informatica --- biologie --- computers --- informatica --- biometrie --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- computerkunde --- robots --- moleculaire biologie --- AI (artificiële intelligentie)

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This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques - genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience.

Biomathematics. Biometry. Biostatistics --- Molecular biology --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- bio-informatica --- data mining --- biometrie --- database management --- KI (kunstmatige intelligentie) --- robots --- moleculaire biologie