
Cognitive Informatics, Computer Modelling, and Cognitive Science
Volume 1: Theory, Case Studies, and Applications
Description
Key Features
- 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
Readership
Biomedical Engineers and researchers in neural engineering and artificial intelligence; data science researchers
Table of Contents
1. Introduction to cognitive science, informatics, and modeling
2. Machine consciousness: mind, machine, and society contributors
3. Brain-computer interface and neurocomputing
4. The impact on cognitive development of a self-contained exploratory and technology-rich course on the physics of light and sound
5. Identification of normal and abnormal brain hemorrhage on magnetic resonance images
6. Cognitive informatics, computer modeling and cognitive science assessment of knee osteoarthritis in radiographic images: a machine learning approach
7. Adaptive circadian rhythm a cognitive approach through dynamic light management
8. Cognitive and brain function analysis of sleeping stage electroencephalogram wave using parallelization
9. The future networks - a cognitive approach
10. Identification of face along with configuration beneath unobstructed ambiance via reflective deep cascaded neural networks
11. Setting up a neural machine translation system for English to Indian languages
12. An extreme learning-based adaptive control design for an autonomous underwater vehicle
13. Geometric total plaque area is an equally powerful phenotype compared to carotid intima-mediathickness for stroke risk assessment
14. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
15. Identification of road signs using a novel convolutional neural network
16. Machine learning behind classification tasks in various engineering and science domains
Product details
- No. of pages: 410
- Language: English
- Copyright: © Academic Press 2020
- Published: April 7, 2020
- Imprint: Academic Press
- eBook ISBN: 9780128194447
- Paperback ISBN: 9780128194430
About the Editors
Ganesh Sinha
Affiliations and Expertise
Jasjit Suri
Affiliations and Expertise
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