Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms 1st Edition Sandeep Kumar – Ebook Instant Download/Delivery ISBN(s): 9781119791607, 111979160X, 9781119792086, 1119792088
Product details:
- ISBN 10: 1119792088
- ISBN 13: 9781119792086
- Author: Sandeep Kumar
The book focuses on the way that human beings and computers interact to ever increasing levels of both complexity and simplicity. Assuming very little knowledge, the book provides content on theory, cognition, design, evaluation, and user diversity. It aims to explain the underlying causes of the cognitive, social and organizational problems typically are devoted to descriptions of rehabilitation methods for specific cognitive processes. This book describes new algorithms for modeling accessible to cognitive scientists of all varieties. The book is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Machine learning research has been being carried out for a decade at international level in various applications. The new learning approach is mostly used in machine learning based cognitive applications. This will give direction for future research to scientists and researchers working in neuroscience, neuro-imaging, machine learning based brain mapping and modeling etc.
Table contents:
1 Cognitive Behavior: Different Human-Computer Interaction Types
2 Classification of HCI and Issues and Challenges in Smart Home HCI Implementation
3 Teaching-Learning Process and Brain-Computer Interaction Using ICT Tools
4 Denoising of Digital Images Using Wavelet-Based Thresholding Techniques: A Comparison
5 Smart Virtual Reality–Based Gaze-Perceptive Common Communication System for Children With Autism Spectrum Disorder
6 Construction and Reconstruction of 3D Facial and Wireframe Model Using Syntactic Pattern Recognition
7 Attack Detection Using Deep Learning–Based Multimodal Biometric Authentication System
8 Feature Optimized Machine Learning Framework for Unbalanced Bioassays
9 Predictive Model and Theory of Interaction
10 Advancement in Augmented and Virtual Reality
11 Computer Vision and Image Processing for Precision Agriculture
12 A Novel Approach for Low-Quality Fingerprint Image Enhancement Using Spatial and Frequency Domain Filtering Techniques
13 Elevate Primary Tumor Detection Using Machine Learning
14 Comparative Sentiment Analysis Through Traditional and Machine Learning-Based Approach
15 Application of Artificial Intelligence and Computer Vision to Identify Edible Bird’s Nest
16 Enhancement of Satellite and Underwater Image Utilizing Luminance Model by Color Correction Method
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