Cognitive Informatics, Computer Modelling, and Cognitive Science
Volume 1: Theory, Case Studies, and Applications
- 1st Edition - April 8, 2020
- Editors: G. R. Sinha, Jasjit S. Suri
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 4 4 3 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 4 4 4 - 7
Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science t… Read more
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Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science to help readers understand its foundations, philosophical and psychological aspects, and applications in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making, mind and behavior analysis, and the various ways cognitive computing is used for information manipulation, processing and decision-making.
Mathematical and computational models, structures and processes of the human brain are also covered, along with advances in machine learning, artificial intelligence, cognitive knowledge base, deep learning, cognitive image processing and suitable data analytics.
- Identifies how foundational theories and concepts in cognitive science are applicable in other fields
- Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM
- Includes models of brain processing, consciousness, decision-making, and more
- Provides in-depth technical coverage of cognitive informatics and computing, including coverage of cognitive knowledge base, information theory, cognitive machine learning and intelligence
Biomedical Engineers and researchers in neural engineering and artificial intelligence; data science researchers
1. Introduction to cognitive science, informatics, and modeling2. Machine consciousness: mind, machine, and society contributors3. Brain-computer interface and neurocomputing4. The impact on cognitive development of a self-contained exploratory and technology-rich course on the physics of light and sound5. Identification of normal and abnormal brain hemorrhage on magnetic resonance images6. Cognitive informatics, computer modeling and cognitive science assessment of knee osteoarthritis in radiographic images: a machine learning approach7. Adaptive circadian rhythm a cognitive approach through dynamic light management8. Cognitive and brain function analysis of sleeping stage electroencephalogram wave using parallelization9. The future networks - a cognitive approach10. Identification of face along with configuration beneath unobstructed ambiance via reflective deep cascaded neural networks11. Setting up a neural machine translation system for English to Indian languages12. An extreme learning-based adaptive control design for an autonomous underwater vehicle13. Geometric total plaque area is an equally powerful phenotype compared to carotid intima-mediathickness for stroke risk assessment14. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms15. Identification of road signs using a novel convolutional neural network16. Machine learning behind classification tasks in various engineering and science domains
- Edition: 1
- Published: April 8, 2020
- Language: English
GS
G. R. Sinha
Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar.
To his credit are 255 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications from Chapman and Hall/CRC Press, Advances in Biometrics from Springer, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches from Elsevier Academic Press. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.
Affiliations and expertise
Adjunct Professor, International Institute of Information Technology Bengaluru (IIITB), Bangalore, Karnataka, IndiaJS
Jasjit S. Suri
Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General’s Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.
Affiliations and expertise
Chairman, AtheroPoint LLC, USARead Cognitive Informatics, Computer Modelling, and Cognitive Science on ScienceDirect