Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science PDF Download
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Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 9811901821
Category : Technology & Engineering
Languages : en
Pages : 576
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Book Description
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).
Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 9811901821
Category : Technology & Engineering
Languages : en
Pages : 576
Get Book Here
Book Description
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).
Author: Asit Saha
Publisher: Springer Nature
ISBN: 3031691342
Category :
Languages : en
Pages : 703
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Book Description
Author: Manoj Sahni
Publisher: Springer Nature
ISBN: 9811659524
Category : Technology & Engineering
Languages : en
Pages : 496
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Book Description
This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.
Author: Sugumaran D
Publisher: CRC Press
ISBN: 1000959309
Category : Computers
Languages : en
Pages : 565
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Book Description
The increase in computing power and sensor data has driven Information Technology on end devices, such as smart phones or automobiles. The widespread application of IT across the globe includes manufacturing, engineering, retail, e-commerce, health care, education, financial services, banking, space exploration, politics (to help predict the sentiments of voter demographics), etc. The papers in this conference proceeding examine and discuss various interdisciplinary researches that could accelerate the advent of Information Technology.
Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 9813343893
Category : Technology & Engineering
Languages : en
Pages : 675
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Book Description
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).
Author: Millie Pant
Publisher: Springer Nature
ISBN: 9819731801
Category :
Languages : en
Pages : 942
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Book Description
Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 981993611X
Category : Technology & Engineering
Languages : en
Pages : 559
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Book Description
The volume is a collection of high-quality, peer-reviewed research papers presented at the Third International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023), held during 24 – 25 February 2023 in hybrid mode. 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).
Author: Souvik Pal
Publisher: CRC Press
ISBN: 100385964X
Category : Computers
Languages : en
Pages : 318
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Book Description
The Covid-19 pandemic brought about dramatic change in the education sector, deeply affecting schools as they were forced to shut down and as online learning became common. Post-Covid, it is clear that many of the practices brought about by the pandemic are actually beneficial in education in the long run. This new volume explores the development and evolution of smart learning, learning analytics, intelligent learning, and the Internet of Things as they pertain to student empowerment in the classroom. The book covers a wide range of topics on digital pedagogy, including educational robotics, immersive technology-based education systems, interactive e-books, using virtual reality and augmented reality (XR) technology, online proctoring, digital transformation of teaching method modules, and much more. Key features: Incorporates and transforms digital pedagogy across the board of functional processes Explores state-of-the-art smart tools in education Offers ideas for successful transformation to digital teaching methods Discusses how digital education can foster student agency and promote cross-disciplinary collaboration
Author: Rayner Alfred
Publisher: Springer Nature
ISBN: 9811685150
Category : Technology & Engineering
Languages : en
Pages : 887
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Book Description
This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology (ICCST 2021), held in Labuan, Malaysia, on 28–29 August 2021. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.
Author: Van Thanh Tien Nguyen
Publisher: CRC Press
ISBN: 1040230628
Category : Computers
Languages : en
Pages : 361
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Book Description
As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments.
