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Computer-Aided Intelligent Recognition Techniques and Applications

and future potential of intelligent recognition technology. Computer Aided Intelligent Recognition Techniques and Applications : provides the;

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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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Knowledge-Based Intelligent Techniques in Character Recognition

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques;

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Knowledge-Based Intelligent Techniques in Character Recognition

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Computer-Aided Design, Engineering, and Manufacturing

more cost effectively than your competitors to gain and keep the competitive advantage. Computer-aided design (CAD), computer-aided engineering;

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Pattern Recognition

in topical sections on computer vision and image analysis; pattern recognition and artificial intelligent techniques; signal processing and analysis;

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Applications of Computer Vision in Fashion and Textiles

taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D;

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Recent Advances in Intelligent Information Systems and Applied Mathematics

This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and;

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Computational Methods and Clinical Applications for Spine Imaging

, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine;

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Computer-Aided Design, Engineering, and Manufacturing

cost effectively than their competitors to gain and keep the competitive advantage. Computer-aided design (CAD), computer-aided engineering;

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Deep Learning in Healthcare

computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an;

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Deep Learning in Healthcare

computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next;

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Computer Aided Systems Theory - EUROCAST 2017

applications; computer and systems based methods and electronics technologies in medicine; intelligent transportation systems and smart mobility.;

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Pattern Recognition and Signal Analysis in Medical Imaging

, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled;

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Computer Aided Systems Theory - EUROCAST 2019

The two-volume set LNCS 12013 and 12014 constitutes the thoroughly refereed proceedings of the 17th International Conference on Computer;

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Computer Aided Systems Theory - EUROCAST 2019

The two-volume set LNCS 12013 and 12014 constitutes the thoroughly refereed proceedings of the 17th International Conference on Computer;

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Intelligent Science and Intelligent Data Engineering

submissions. Topics covered include pattern recognition; computer vision and image processing; machine learning and computational intelligence;

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Intelligent Information and Database Systems

; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and;

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Deep Learning in Medical Image Analysis

-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its;

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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition;

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Computer Aided Production Engineering

industry. The scope and range of studies extends over such topics as: computer-aided design, manufacture, and process planting; concurrent;

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Intelligent Information and Database Systems

; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and;

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Intelligent Information and Database Systems

Support and Control Systems; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Multiple Model Approach to Machine;

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Molecular Docking for Computer-Aided Drug Design

Molecular Docking for Computer-Aided Drug Design: Fundamentals, Techniques, Resources and Applications offers in-depth coverage on the use;

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Intelligent Components and Instruments for Control Applications 1992

in this volume cover intelligent control techniques, actuators, sensors, image processing, computer vision, software and communications. Papers;

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