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Cognitive Science and Artificial Intelligence [electronic resource] : Advances and Applications / by Sasikumar Gurumoorthy, Bangole Narendra Kumar Rao, Xiao-Zhi Gao.

By: Gurumoorthy, Sasikumar [author.].
Contributor(s): Rao, Bangole Narendra Kumar [author.] | Gao, Xiao-Zhi [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Forensic and Medical Bioinformatics: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: VIII, 112 p. 50 illus., 28 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811066986.Subject(s): Computational intelligence | Medical informatics | Bioinformatics | Neural networks (Computer science)  | Biomedical engineering | Computational Intelligence | Health Informatics | Computational and Systems Biology | Bioinformatics | Mathematical Models of Cognitive Processes and Neural Networks | Biomedical Engineering and BioengineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
1.Construction of Breast Cancer Based Protein Protein Interaction Network Using Multiple Sources of Datasets -- 2.A Novel Evolutionary Automatic Clustering Technique by Unifying Initial Seed Selection Algorithms and K-Means into Teaching-Learning-Based Optimization -- 3.Classification of Abnormal Blood Vessels in Diabetic Retinopathy using Neural Network -- 4.Flue-cured tobacco Leaves classification: A Generalized approach using Deep Convolutional Neural Networks -- 5.The Adaptive Strategies Improving Web Personalization Using the Tree Seed Algorithm (TSA) -- 6.An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction.
In: Springer Nature eBookSummary: This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.
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1.Construction of Breast Cancer Based Protein Protein Interaction Network Using Multiple Sources of Datasets -- 2.A Novel Evolutionary Automatic Clustering Technique by Unifying Initial Seed Selection Algorithms and K-Means into Teaching-Learning-Based Optimization -- 3.Classification of Abnormal Blood Vessels in Diabetic Retinopathy using Neural Network -- 4.Flue-cured tobacco Leaves classification: A Generalized approach using Deep Convolutional Neural Networks -- 5.The Adaptive Strategies Improving Web Personalization Using the Tree Seed Algorithm (TSA) -- 6.An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction.

This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.

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