Login

Gao, Xiao-Zhi

Cognitive Science and Artificial Intelligence

Gao, Xiao-Zhi - Cognitive Science and Artificial Intelligence, ebook

58,65€

Ebook, PDF with Adobe DRM
ISBN: 9789811066986
DRM Restrictions

PrintingNot allowed
Copy to clipboardNot allowed

Table of contents

1. Measurement of Disease Severity of Rice Crop Using Machine Learning and Computational Intelligence
Prabira Kumar Sethy, Baishalee Negi, Nalini Kanta Barpanda, Santi Kumari Behera, Amiya Kumar Rath

2. Flue-Cured Tobacco Leaves Classification: A Generalized Approach Using Deep Convolutional Neural Networks
Siva Krishna Dasari, Koteswara Rao Chintada, Muralidhar Patruni

3. The Adaptive Strategies Improving Web Personalization Using the Tree Seed Algorithm (TSA)
P. Srinivasa Rao, D. Vasumathi, K. Suresh

4. An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction
N. Manoharan, Arunkumar Thangavelu

5. A Refined K-Means Technique to Find the Frequent Item Sets
A. Sarvani, B. Venugopal, Nagaraju Devarakonda

6. Finger Vein Detection Using Gabor Filter and Region of Interest
Saritha Reddy Venna, Suresh Thommandru, Ramesh Babu Inampudi

7. Design of Rheumatoid Arthritis Predictor Model Using Machine Learning Algorithms
S. Shanmugam, J. Preethi

8. Feature Based Opinion Mining and Sentiment Analysis Using Fuzzy Logic
B. Vamshi Krishna, Ajeet Kumar Pandey, A. P. Siva Kumar

9. Hexagonal Image Processing and Transformations: A Practical Approach Using R
E. Ramalakshmi, Neeharika Kompala

10. EEG Based Emotion Recognition Using Wavelets and Neural Networks Classifier
S. Thejaswini, K. M. Ravi Kumar, Shyam Rupali, Vijayendra Abijith

Keywords: Engineering, Computational Intelligence, Health Informatics, Computational Biology/Bioinformatics, Bioinformatics, Mathematical Models of Cognitive Processes and Neural Networks, Biomedical Engineering

Author(s)
 
 
Publisher
Springer
Publication year
2018
Language
en
Edition
1
Series
SpringerBriefs in Applied Sciences and Technology
Page amount
8 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9789811066986
Printed ISBN
978-981-10-6697-9

Similar titles