Smart Modelling for Engineering Systems

Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2

Margarita N. Favorskaya, Alena V. Favorskaya, Lakhmi C. Jain (Herausgeber)

Buch | Softcover

308 Seiten

2022 | 1st ed. 2021
Springer Verlag, Singapore
978-981-334-621-5 (ISBN)

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This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, andhigh-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.

Dr. Margarita N. Favorskaya is Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member and Chair of invited sessions of over 30 international conferences. She serves as Reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), Associate Editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems, and International Journal of Reasoning-based Intelligent Systems, Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, Reviewer, Guest Editor, and Book Editor (Springer). She is the author/co-author of 200 publications and 20 educational manuals in computer science/engineering. She co-authored/co-edited ten books for Springer recently. She supervised nine Ph.D. and is presently supervising four Ph.D. students. Dr. Alena V. Favorskaya works as Researcher and Associated Professor at Moscow Institute of Physics and Technology, Russian Federation. Dr. Favorskaya was an advisor of more than 10 students. She is presently supervising two Ph.D. students. She is the author and the co-author of more than 100 publications in these fields. Dr. Alena Favorskaya developed smart techniques such as intelligent high-order interpolation on unstructured tetrahedral grids (2009), grid-characteristic method on unstructured tetrahedral grids (2009), and so on. Dr. Favorskaya co-edited two books for Springer recently. Dr. Alena Favorskaya was rewarded by Award of the President of the Russian Federation for Young Scientists in 2012, 2013, and 2014, by Award of the Government of the Russian Federation for Young Scientists in 2013 and 2014, by IBM PhD Fellowship Award in 2015, by the grant of the President of the Russian Federation in 2017, and by the medal of Russian Academy of Science in 2019. Prof. Dr. Igor B. Petrov is Head of the Department of Computational Physics and Full Professor at Moscow Institute of Physics and Technology, Russian Federation. He supervised more than 60 Ph.D. students. He is the author or the co-author of more than 200 publications (book chapters, research papers, and software tools) in these fields. He co-edited two books for Springer recently. Prof. Petrov developed grid-characteristic numerical method for solving hyperbolic system of equations and for full-wave modelling of dynamical three-dimensional processes. Also he developed a method of smooth particles for solving meteorite and asteroid protection problems. Prof. Petrov is a member of New York Academy of Sciences and a member of Advisory Board of Russian Foundation for Basic Research. He was awarded by Order for Merit of Second Degree Medal of Russian Federations in 1999. Prof. Petrov became a corresponding member of Russian Academy of Science in 2011. Dr. Lakhmi C. Jain, Ph.D., M.E., B.E. (Hons.), Fellow (Engineers Australia), is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation, and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.

Recent Advances in Numerical Methods, Machine Learning, and Computer Science.- Correction of Boundary Conditions in Micromodels by Molecular Dynamic Method.- Development and Application of the SMIF Method for the Investigation of Incompressible Fluid Flows.- On 32nd-Order Multioperators-Based Schemes for Fluid Dynamics.- Hermitian Grid-Characteristic Scheme for Linear Transport Equation and Its Dissipative-Dispersion Properties

Erscheinungsdatum	04.02.2022
Reihe/Serie	Smart Innovation, Systems and Technologies ; 215
Zusatzinfo	82 Illustrations, color; 39 Illustrations, black and white; XII, 308 p. 121 illus., 82 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Physik / Astronomie ► Mechanik
	Technik ► Bauwesen
Schlagworte	Artificial Intelligence • CMCM 2020 • Continuum Mechanics • engineering systems • machine learning • numerical modeling • Smart Modeling
ISBN-10	981-334-621-3 / 9813346213
ISBN-13	978-981-334-621-5 / 9789813346215
Zustand	Neuware