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Proceedings of First International Conference on Mathematical Modeling and Computational ScienceICMMCS 2020 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Proceedings of First International Conference on Mathematical Modeling and Computational Scienceedited by Sheng-Lung Peng, Rong-Xia Hao, Souvik Pal.
Reminder of title:
ICMMCS 2020 /
remainder title:
ICMMCS 2020
other author:
Peng, Sheng-Lung.
corporate name:
Published:
Singapore :Springer Singapore :2021.
Description:
xx, 675 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Mathematical modelsCongresses.
Online resource:
https://doi.org/10.1007/978-981-33-4389-4
ISBN:
9789813343894$q(electronic bk.)
Proceedings of First International Conference on Mathematical Modeling and Computational ScienceICMMCS 2020 /
Proceedings of First International Conference on Mathematical Modeling and Computational Science
ICMMCS 2020 /[electronic resource] :ICMMCS 2020edited by Sheng-Lung Peng, Rong-Xia Hao, Souvik Pal. - Singapore :Springer Singapore :2021. - xx, 675 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.12922194-5357 ;. - Advances in intelligent systems and computing ;176..
Chapter 1. Maximum matching in Koch Snowflake and Sierpenski Triangle -- Chapter 2. A Study of Stochastic Ecological Model with Prey Harvesting as a Tool of Disease Control -- Chapter 3. Eccentric Distance Sum in Graph of Chemical Compounds Using Domination -- Chapter 4. Analysis of Sierpinski Triangle Based on Fuzzy Triangular Numbers and Dihedral Group -- Chapter 5. Near-Optimal Cable Layout Design Of A Wind Farm Using Genetic Algorithm -- Chapter 6. Inventory Cost Estimation Using Brownian Motion -- Chapter 7. Applying negative association rule utilizing unsupervised machine learning -- Chapter 8. Integrated network of Pearson correlation coefficients, Kendal-Tao, Spearman-Rao and its impact on disease, health indicators and mortality ratings in Babil Province -- Chapter 9. The Estimate Function of Schrodinger Operator -- Chapter 10. E- Learning In Data Analytics on Basis of Rule Mining Prediction in Data Mining Environment -- Chapter 11. Determination on Apriori and clustering algorithms based on crime against female Permanency- Prediction in Tamil Nadu State -- Chapter 12. IoT Implementation at Global Enterprises for Progressive Human resource Practices -- Chapter 13. An Empirical Study of Heart Disease Prediction System Using Various Machine Learning Classification Algorithms -- Chapter 14. FPGA Implementation of Scaled "Quasi-Cyclic LDPC" Decoder Using High-Level Synthesis -- Chapter 15. Automatic Road Enforcement Detection System Using Intelligent Robust Fuzzy Trained Stochastic Neural Network.
This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the First International Conference on Mathematical Modeling and Computational Science (ICMMCS 2020), held in Pattaya, Thailand, during 14-15 August 2020. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, and Internet of things (IoT)
ISBN: 9789813343894$q(electronic bk.)
Standard No.: 10.1007/978-981-33-4389-4doiSubjects--Topical Terms:
437634
Mathematical models
--Congresses.
LC Class. No.: QA401
Dewey Class. No.: 511.8
Proceedings of First International Conference on Mathematical Modeling and Computational ScienceICMMCS 2020 /
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Chapter 1. Maximum matching in Koch Snowflake and Sierpenski Triangle -- Chapter 2. A Study of Stochastic Ecological Model with Prey Harvesting as a Tool of Disease Control -- Chapter 3. Eccentric Distance Sum in Graph of Chemical Compounds Using Domination -- Chapter 4. Analysis of Sierpinski Triangle Based on Fuzzy Triangular Numbers and Dihedral Group -- Chapter 5. Near-Optimal Cable Layout Design Of A Wind Farm Using Genetic Algorithm -- Chapter 6. Inventory Cost Estimation Using Brownian Motion -- Chapter 7. Applying negative association rule utilizing unsupervised machine learning -- Chapter 8. Integrated network of Pearson correlation coefficients, Kendal-Tao, Spearman-Rao and its impact on disease, health indicators and mortality ratings in Babil Province -- Chapter 9. The Estimate Function of Schrodinger Operator -- Chapter 10. E- Learning In Data Analytics on Basis of Rule Mining Prediction in Data Mining Environment -- Chapter 11. Determination on Apriori and clustering algorithms based on crime against female Permanency- Prediction in Tamil Nadu State -- Chapter 12. IoT Implementation at Global Enterprises for Progressive Human resource Practices -- Chapter 13. An Empirical Study of Heart Disease Prediction System Using Various Machine Learning Classification Algorithms -- Chapter 14. FPGA Implementation of Scaled "Quasi-Cyclic LDPC" Decoder Using High-Level Synthesis -- Chapter 15. Automatic Road Enforcement Detection System Using Intelligent Robust Fuzzy Trained Stochastic Neural Network.
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This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the First International Conference on Mathematical Modeling and Computational Science (ICMMCS 2020), held in Pattaya, Thailand, during 14-15 August 2020. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, and Internet of things (IoT)
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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB QA401 .I61 2020 2021
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https://doi.org/10.1007/978-981-33-4389-4
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