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Machine intelligence and soft computing : proceedings of ICMISC 2020 / Edited by Debnath Bhattacharyya and N. Thirupathi Rao.
Format
Book
Language
English
Εdition
1st ed. 2021.
Published/Created
Gateway East, Singapore : Springer, [2021]
2021
Description
1 online resource (XVII, 504 p. 327 illus., 211 illus. in color.)
Availability
Available Online
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2021 English International
Details
Subject(s)
Artificial intelligence
—
Congresses
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Computational intelligence
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Soft computing
—
Congresses
[Browse]
Editor
Thirupathi Rao, N.
[Browse]
Bhattacharyya, Debnath
[Browse]
Series
Advances in Intelligent Systems and Computing, 1280
[More in this series]
Advances in Intelligent Systems and Computing, 2194-5357 ; 1280
[More in this series]
Summary note
This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.
Notes
Includes index.
Source of description
Description based on print version record.
Contents
A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images
A Survey on Techniques for Android Malware Detection
Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review
Prediction of Diabetes using Ensemble Learning Model
Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement
A Novel Approach to Predict Cardiovascular Disease Using Machine Learning
Comparative Analysis of Machine Learning Models on Loan Risk Analysis
Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements
Accurate Prediction of Fake Job Offers Using Machine Learning
Emotion Recognition through Human Conversation using Machine Learning Techniques.
Show 7 more Contents items
ISBN
981-15-9516-X
Doi
10.1007/978-981-15-9516-5
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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