UID:
almahu_9949070748002882
Umfang:
XVIII, 641 p. 348 illus., 231 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9789811601712
Serie:
Advances in Intelligent Systems and Computing, 1
Inhalt:
This book features a collection of high-quality, peer-reviewed papers presented at the Fourth International Conference on Intelligent Computing and Communication (ICICC 2020) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 18-20 September 2020. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
Anmerkung:
Chapter 1.Heuristic approach to Detect Pectoral Muscle & Nipple in Mammogram for Computer Aided Diagnosis -- Chapter 2. Design of LSTM-CNN with Feature Map Merge for Crime Scene Detection in CCTV Footage -- Chapter 3. Malware family classification model using convolutional neural network -- Chapter 4. Malware and benign detection using convolutional neural network -- Chapter 5. An Evaluation and Validation of Contemporary Approaches in Scene Text Extraction and Recognition -- Chapter 6. Sentiment analysis for movie ratings using deep learning -- Chapter 7. Subject Noncontingent EEG based Emotion Detection using Deep Learning Algorithm -- Chapter 8. Performance Analysis of Dijkstra's and the A-Star Algorithm on an Obstacle Map -- Chapter 9. Automated Microaneurysms Detection in Fundus Images for early diagnosis of Diabetic Retinopathy -- Chapter 10. Plant health report through advanced convolution neural network methodology.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789811601705
Weitere Ausg.:
Printed edition: ISBN 9789811601729
Sprache:
Englisch
DOI:
10.1007/978-981-16-0171-2
URL:
https://doi.org/10.1007/978-981-16-0171-2
