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Emotion and Information Processing

Overview of attention for book
Cover of 'Emotion and Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Effect of Emotion in Information Processing for Decision-Making
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    Chapter 2 Impact of Psychosocial Intervention on Emotional Disorders and Medication Adherence in HIV/AIDS
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    Chapter 3 Blended Learning and Its Impact on Cognition and Emotion
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    Chapter 4 Theory and Implications of Information Processing
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    Chapter 5 Effect on the Emotional Self-Esteem of Women with Reference to Make-Up
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    Chapter 6 Behavioral and Emotional Dimensions of Sexual Harassment at Workplace
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    Chapter 7 The Effect of Age, Gender, and Arousal Level on Categorizing Human Affective States
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    Chapter 8 Embarrassment in the Context of Negative Emotions and Its Effects on Information Processing
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    Chapter 9 Student’s Emotion: The Power of EmotionEducation in School
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    Chapter 10 Emotional Level Classification and Prediction of Tweets in Twitter
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    Chapter 11 Remaining Useful Life as a Cognitive Tool in the Domain of Manufacturing
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    Chapter 12 Multiple Task Human Gait Analysis and Identification: Ensemble Learning Approach
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    Chapter 13 Employing Machine Learning for Multi-perspective Emotional Health Analysis
Attention for Chapter 11: Remaining Useful Life as a Cognitive Tool in the Domain of Manufacturing
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Citations

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Chapter title
Remaining Useful Life as a Cognitive Tool in the Domain of Manufacturing
Chapter number 11
Book title
Emotion and Information Processing
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-48849-9_11
Book ISBNs
978-3-03-048848-2, 978-3-03-048849-9
Authors

Ahin Banerjee, Sanjay K. Gupta, Debanshee Datta, Banerjee, Ahin, Gupta, Sanjay K., Datta, Debanshee

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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