Hybrid Intelligence for Image Analysis and Understanding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Intelligence for Image Analysis and Understanding write by Siddhartha Bhattacharyya. This book was released on 2017-07-27. Hybrid Intelligence for Image Analysis and Understanding available in PDF, EPUB and Kindle. A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features: Provides in-depth analysis of hybrid intelligent paradigms. Divided into self-contained chapters. Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms. Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms. The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.
Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Hybrid Intelligent Techniques for Pattern Analysis and Understanding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Intelligent Techniques for Pattern Analysis and Understanding write by Siddhartha Bhattacharyya. This book was released on 2017-10-30. Hybrid Intelligent Techniques for Pattern Analysis and Understanding available in PDF, EPUB and Kindle. Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
Hybrid Computational Intelligence
Hybrid Computational Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Computational Intelligence write by Siddhartha Bhattacharyya. This book was released on 2020-03-05. Hybrid Computational Intelligence available in PDF, EPUB and Kindle. Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics
Hybrid Machine Intelligence for Medical Image Analysis
Hybrid Machine Intelligence for Medical Image Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Machine Intelligence for Medical Image Analysis write by Siddhartha Bhattacharyya. This book was released on 2019-08-08. Hybrid Machine Intelligence for Medical Image Analysis available in PDF, EPUB and Kindle. The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition write by Patricia Melin. This book was released on 2009-09-30. Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition available in PDF, EPUB and Kindle. Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.
