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Cognitive Science and Artificial Intelligence

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Cover of 'Cognitive Science and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Measurement of Disease Severity of Rice Crop Using Machine Learning and Computational Intelligence
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    Chapter 2 Flue-Cured Tobacco Leaves Classification: A Generalized Approach Using Deep Convolutional Neural Networks
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    Chapter 3 The Adaptive Strategies Improving Web Personalization Using the Tree Seed Algorithm (TSA)
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    Chapter 4 An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction
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    Chapter 5 A Refined K-Means Technique to Find the Frequent Item Sets
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    Chapter 6 Finger Vein Detection Using Gabor Filter and Region of Interest
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    Chapter 7 Design of Rheumatoid Arthritis Predictor Model Using Machine Learning Algorithms
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    Chapter 8 Feature Based Opinion Mining and Sentiment Analysis Using Fuzzy Logic
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    Chapter 9 Hexagonal Image Processing and Transformations: A Practical Approach Using R
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    Chapter 10 EEG Based Emotion Recognition Using Wavelets and Neural Networks Classifier
Attention for Chapter 9: Hexagonal Image Processing and Transformations: A Practical Approach Using R
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Chapter title
Hexagonal Image Processing and Transformations: A Practical Approach Using R
Chapter number 9
Book title
Cognitive Science and Artificial Intelligence
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6698-6_9
Book ISBNs
978-9-81-106697-9, 978-9-81-106698-6
Authors

E. Ramalakshmi, Neeharika Kompala

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