Cognitive Computing in Human Cognition - Perspectives and Applications

This edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.

List of contents

Chapter 1: Improved Steganography using Odd Even substitution.- Chapter 2: A Tags Mining Approach for Automatic Image Annotation Using Neighbor Images Tree.- Chapter 3: A Survey: Implemented Architectures of 3D Convolutional Neural Networks.- Chapter 4: An approach for detection of dust on solar panels using CNN from RGB dust image to predict power loss.- Chapter 5: A Novel Method of Data Partitioning Using Genetic Algorithm Work Load Driven Approach Utilizing Machine Learning.- Chapter 6: Virtual Dermoscopy using Deep Learning Approach.- Chapter 7: Evaluating Robustness for Intensity Based Image Registration Measures Using Mutual Information and Normalized Mutual Information.- Chapter 8: A New Contrast Based Degraded Document Image Binarization. 

Product details

• Assisted by: Valentina Emilia Balas (Editor), Prasan Kumar Patnaik (Editor), Prasan Kumar Pattnaik (Editor), Prasant Kumar Pattnaik (Editor), Pradeep Kumar Mallick (Editor), Amiya Ranjan Panda (Editor), Prasan Patnaik (Editor), Prasant Patnaik (Editor), Prasant Kumar Patnaik (Editor), Prasan Pattnaik (Editor), Prasant Kumar Pattnaik (Editor), Amiya Ranjan Panda et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.08.2020
• EAN: 9783030481179
• ISBN: 978-3-0-3048117-9
• No. of pages: 125
• Dimensions: 158 mm x 14 mm x 240 mm
• Weight: 360 g
• Illustrations: XIV, 125 p. 75 illus., 38 illus. in color.
• Series: Learning and Analytics in Intelligent Systems
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT