Cognitive Science and Artificial Intelligence -  Xiao-Zhi Gao,  Sasikumar Gurumoorthy,  Bangole Narendra Kumar Rao

Cognitive Science and Artificial Intelligence (eBook)

Advances and Applications
eBook Download: PDF
2017 | 1st ed. 2018
VIII, 112 Seiten
Springer Singapore (Verlag)
978-981-10-6698-6 (ISBN)
Systemvoraussetzungen
58,84 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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.



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.


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.

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.

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

Erscheint lt. Verlag 22.12.2017
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Forensic and Medical Bioinformatics
SpringerBriefs in Forensic and Medical Bioinformatics
Zusatzinfo VIII, 112 p. 50 illus., 28 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Geisteswissenschaften Psychologie
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik
Medizin / Pharmazie
Naturwissenschaften Biologie
Technik Bauwesen
Schlagworte biomedical informatics • Brain-based Interaction • Data Mining • Deep learning • Human-Centric Computing • Information Processing • machine learning • Neural networks • sentiment analysis
ISBN-10 981-10-6698-1 / 9811066981
ISBN-13 978-981-10-6698-6 / 9789811066986
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 3,3 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90