Cognitive Science and Artificial Intelligence

Advances and Applications
2018. Auflage 2018
ISBN: 978-981-10-6697-9
Verlag: Springer Nature Singapore

Buch, Englisch, 112 Seiten, Format (B × H): 154 mm x 238 mm, Gewicht: 211 g

Reihe: SpringerBriefs in Forensic and Medical Bioinformatics

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.

Zielgruppe

Research

Autoren/Hrsg.

Gurumoorthy, Sasikumar

Rao, Bangole Narendra Kumar

Gao, Xiao-Zhi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

1. Construction of Breast Cancer Based Protein Protein Interaction Network Using Multiple Sources of Datasets2. A Novel Evolutionary Automatic Clustering Technique by Unifying Initial Seed Selection Algorithms and K-Means into Teaching-Learning-Based Optimization3. Classification of Abnormal Blood Vessels in Diabetic Retinopathy using Neural Network4. Flue-cured tobacco Leaves classification: A Generalized approach using Deep Convolutional Neural Networks5. 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 PREDICTION7. Finger Vein Detection Using Gabor Filter and Region of Interest8. AN STUDY AND DESIGN OF RHEUMATOID ARTHRITIS PREDICTOR USING MACHINE LEARNING BASED MODEL9. Hybridizing spectral clustering with shadow clustering10. COGNITIVE STATE CLASSIFIERS FOR IDENTIFYING BRAIN ACTIVITIES11. Measurement of Disease Severity of Rice Crop Using Machine Learning & Computational Intelligence12. A NOVEL LEVEL BASED DNA SECURITY ALGORITHM USING DNA CODONS13. 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 sets15. Feature based Opinion Mining and Sentiment Analysis using Fuzzy Logic16. Hexagonal Image Processing and Transformations: A Practical Approach using R17. EEG BASED EMOTION RECOGNITION USING WAVELETS AND NEURAL NETWORKS CLASSIFIER

Über Autor(innen)

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 Technology, Finland in 1999. Since January 2004, he has been working as an instructor at the same university. He is also a Guest Professor of Beijing Normal University, Harbin Institute of Technology, and Beijing City University, China. Dr. Gao has published more than 150 technical papers in refereed journals and for international conferences. He is an Associate Editor of the Journal of Intelligent Automation and Soft Computing and an editorial board member of the Journal of Applied Soft Computing, International Journal of Bio-Inspired Computation, and Journal of Hybrid Computing Research. Dr. Gao was the General Chair of the 2005 IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications. His current research interests are neural networks, fuzzy logic, evolutionary computing, swarm intelligence, and artificial immune systems, together with their applications in industrial electronics.