Cognitive Science and Artificial Intelligence, 1st ed. 2018
Advances and Applications
SpringerBriefs in Forensic and Medical Bioinformatics Series

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Language: English

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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.

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
7. Finger Vein Detection Using Gabor Filter and Region of Interest
8. AN STUDY AND DESIGN OF RHEUMATOID ARTHRITIS PREDICTOR USING MACHINE LEARNING BASED MODEL
9. Hybridizing spectral clustering with shadow clustering
10. COGNITIVE STATE CLA
SSIFIERS FOR IDENTIFYING BRAIN ACTIVITIES
11. Measurement of Disease Severity of Rice Crop Using Machine Learning & Computational Intelligence
12. A NOVEL LEVEL BASED DNA SECURITY ALGORITHM USING DNA CODONS
13. Design and Implementation of Intelligent System to Detect Malicious Facebook posts using Support Vector Machine (SVM)
14. A Refined K-means technique to find the frequent item sets
15. Feature based Opinion Mining and Sentiment Analysis using Fuzzy Logic
16. Hexagonal Image Processing and Transformations: A Practical Approach using R
17. EEG BASED EMOTION RECOGNITION USING WAVELETS AND NEURAL NETWORKS CLASSIFIER

Dr. Sasikumar Gurumoorthy a Professor in the Department of Computer Science and Systems engineering at Sree Vidyanikethan Engineering College at Tirupati, India. He has published more than 90 technical papers in various international journals, conferences, and book chapters and has guided 57 Students for their M.Tech, B.Tech, MSc, B.Sc., degrees in both computer science, Computer Science and Systems Engineering and Information Technology. He is associated with many professional bodies like CSI, IAENG, ISTE, AIRCC, IACSIT, IDES, IFERP, WASET, and INEER. He is on the editorial board of several international journals like AIRCC, NCICT, MAT Journals, IFERP, IFERP, IJERCSE and he is a reviewer for over 11 international journals. His current interests include soft computing and artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, new user interfaces, brain-based interactions, human-centric computing, fuzzy sets and systems, image processing, cloud computing, content-based learning and social network analysis.


Dr. Bangole Narendra Kumar Rao received his Ph.D. degree from Jawaharlal Nehru Technological University, Hyderabad. He is currently a Professor at the Department of Computer Science and Systems Engineering, and has been the Chairman, Board of Computer Science and Systems Engineering. He has also been the Head of the Department of Computer Science and Systems Engineering since July 2014. He has published more than 15 scientific papers in the field of Software Testing. His research interests include Software Process Optimization, Soft Computing Techniques and Data Mining in Computer Science and Engineering.


Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China in 1993 and 1996, respectively. He earned a D.Sc. (Tech.) degree from the Helsinki University of Technolo

Includes supplementary material: sn.pub/extras