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Cognitive computing in human cogniti...

Mallick, Pradeep Kumar.

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Cognitive computing in human cognition = perspectives and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cognitive computing in human cognition/ edited by Pradeep Kumar Mallick ... [et al.].
其他題名:	perspectives and applications /
其他作者:	Mallick, Pradeep Kumar.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xiv, 125 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Soft computing. -
電子資源:	https://doi.org/10.1007/978-3-030-48118-6
ISBN:	9783030481186

Cognitive computing in human cognition = perspectives and applications /
Cognitive computing in human cognitionperspectives and applications /[electronic resource] :edited by Pradeep Kumar Mallick ... [et al.]. - Cham :Springer International Publishing :2020. - xiv, 125 p. :ill., digital ;24 cm. - Learning and analytics in intelligent systems,v.172662-3447 ;. - Learning and analytics in intelligent systems ;v.17..

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.

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.

ISBN: 9783030481186

Standard No.: 10.1007/978-3-030-48118-6doiSubjects--Topical Terms:

563033
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Cognitive computing in human cognition = perspectives and applications /
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505 0 $a 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.
520 $a 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.
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