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Titlebook: Smart Modelling for Engineering Systems; Proceedings of the I Margarita N. Favorskaya,Alena V. Favorskaya,Lakhmi Conference proceedings 202

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發(fā)表于 2025-3-21 16:05:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Smart Modelling for Engineering Systems
副標(biāo)題Proceedings of the I
編輯Margarita N. Favorskaya,Alena V. Favorskaya,Lakhmi
視頻videohttp://file.papertrans.cn/869/868901/868901.mp4
概述Presents papers presented at Smart Computational Methods in Continuum Mechanics 2021 Conference.Provides an overview of major research applications in intelligent computational methods.Offers a valuab
叢書名稱Smart Innovation, Systems and Technologies
圖書封面Titlebook: Smart Modelling for Engineering Systems; Proceedings of the I Margarita N. Favorskaya,Alena V. Favorskaya,Lakhmi Conference proceedings 202
描述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 o
出版日期Conference proceedings 2021
關(guān)鍵詞Artificial Intelligence; Machine Learning; Continuum Mechanics; Smart Modeling; Engineering Systems; Nume
版次1
doihttps://doi.org/10.1007/978-981-33-4619-2
isbn_softcover978-981-33-4621-5
isbn_ebook978-981-33-4619-2Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 21:52:24 | 只看該作者
Correction of Boundary Conditions in Micromodels by Molecular Dynamic Methodr dynamics methods. It discusses original techniques, their software implementations, as well as, some interesting molecular modeling. The relevance of the work is associated with the development of cryogenic and low-temperature nanotechnologies used in nanoelectronics, biomedicine, and other indust
板凳
發(fā)表于 2025-3-22 00:48:40 | 只看該作者
Development and Application of the SMIF Method for the Investigation of Incompressible Fluid Flowsheme of SMIF method is based on modified central difference scheme (MCDS) and modified upwind difference scheme (MUDS) with special switch condition depending on the velocity sign and the signs of the first and second differences of transferred functions. Application of this method for solving some
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Development and Application of the SMIF Method for the Investigation of Incompressible Fluid Flows dimensionless parameters of the problem including the transitional regimes (2D-3D transition, laminar-turbulent transition in the boundary layer)], plane problem of fluid flows with a free surface, dynamics of vortex pair in a water, collapse of spots in stratified fluid, and the air, heat, and mass transfer in “clean rooms”.
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2190-3018 cations in intelligent computational methods.Offers a valuabThis 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
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發(fā)表于 2025-3-22 13:41:30 | 只看該作者
Recent Advances in Numerical Methods, Machine Learning, and Computer Science,tinuum mechanics. Modern methods in mathematical physics are presented in the fifth part of the book. The sixth part of the book deals with machine learning. Computer science is discussed in the seventh part of the book.
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發(fā)表于 2025-3-23 04:39:37 | 只看該作者
k ends with an introduction to noise in analog/RF circuits and describes how the low-frequency noise can affect these circuits. .978-90-481-7472-0978-1-4020-5910-0Series ISSN 1872-082X Series E-ISSN 2197-1854
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發(fā)表于 2025-3-23 08:08:40 | 只看該作者
Margarita N. Favorskaya,Alena V. Favorskaya,Igor B. Petrov,Lakhmi C. Jaink ends with an introduction to noise in analog/RF circuits and describes how the low-frequency noise can affect these circuits. .978-90-481-7472-0978-1-4020-5910-0Series ISSN 1872-082X Series E-ISSN 2197-1854
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