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Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science: ICMMCS 2021 de Sheng-Lung Peng

Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science: ICMMCS 2021: Advances in Intelligent Systems and Computing, cartea 1422

Editat de Sheng-Lung Peng, Cheng-Kuan Lin, Souvik Pal
en Limba Engleză Paperback – 29 iun 2022
The conference proceeding of ICMMCS 2021 presents 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 Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29–30, 2021. 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, Internet of Things (IoT).
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Specificații

ISBN-13: 9789811901812
ISBN-10: 9811901813
Pagini: 576
Ilustrații: XVIII, 576 p. 244 illus., 174 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

Cuprins

A Study About [(γ,γ')]α -Regular Spaces, Normal Spaces with (γ,γ') -Open sets and α(γ,γ')- Open sets.- The Role of Harvesting in a Food Chain Model and its Stability Analysis.- Inventory Queuing System Study Using Simulation and Birth-Death Process.- Steady State Analysis of Bulk Queueing System with Renovation, Prolonged Vacation and Tune-up/shutdown Times.- Estimation of Public Compliance with Covid-19 Prevention Standard Operating Procedures through a Mathematical Model.- Campus Recruitment Cost Analysis: A Roadmap for HR Managers.- Certain Types of Domination In Nover Top Graphs.- Analysis and Classification of Physiological Signals for Emotion Detection.- Wiener and Zagreb indices for Helm and Web Graph.- Disease Classification using Particle Swarm Optimization with Fuzzy Neural Network.

Notă biografică

Sheng-Lung Peng is Professor and Director (head) of the Department of Creative Technologies and Product Design, National Taipei University of Business, Taiwan. He received the Ph.D. degree in Computer Science from the National Tsing Hua University, Taiwan. He is Honorary Professor of Beijing Information Science and Technology University, China, and Visiting Professor of Ningxia Institute of Science and Technology, China. He is also Adjunct Professor of Mandsaur University, India. He has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Real-Time Image Processing, International Journal of Knowledge and System Science, MDPI Algorithms, and so on. His research interests are in designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks areas in which he has published over 100 research papers.


Cheng-Kuan Lin received the B. S. degrees in Applied Mathematics from the Chinese Culture University in 2000; and received the M. S. degrees in Mathematic from the National Central University in 2002. He obtained the Ph. D. in Computer Science from the National Chiao Tung University in 2011. In 2014, he joined the School of Computer Science and Technology, Soochow University, as an Associate Professor. In December 2018, he joined the College of Mathematics and Computer Science, Fuzhou University, as a Professor. He is the Associate Professor at the Department of Computer Science at National Yang Ming Chiao Tung University. His current research interests include design and analysis of algorithms, graph theory, wireless sensor networks, wireless applications, parallel and distributed computing, and V2X. He has published over 150 research papers.


Souvik Pal is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University (TechnoIndia Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his MTech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 15 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He is serving as a Series Editor for “Advances in Learning Analytics for Intelligent Cloud-IoT Systems”, published by Scrivener-Wiley Publishing (Scopus-indexed);  “Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication”, published CRC Press, Taylor & Francis Group, USA; “Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization”, published CRC Press, Taylor & Francis Group, USA;  Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.

Textul de pe ultima copertă

The conference proceeding of ICMMCS 2021 presents 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 Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29–30, 2021. 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, Internet of Things (IoT).

Caracteristici

Presents recent innovative research in the field of mathematical modeling and computational science Discusses the outcomes of ICMMCS 2021 Serves as a reference resource for researchers and practitioners in academia and industry