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020 _a9789813346192
024 7 _a10.1007/978-981-33-4619-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
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050 4 _aQ342
_b2021 EB
245 0 0 _aSmart Modelling for Engineering Systems :
_bProceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2
_cedited by Margarita N. Favorskaya, Alena V. Favorskaya, Igor B. Petrov, Lakhmi C. Jain.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XII, 308 páginas)
_b121 ilustraciones, 82 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2
490 0 _aSmart Innovation Systems and Technologies
_x2190-3018
_v215
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aRecent 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.
520 3 _aThis 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, and high-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.
988 _aSpringer_Robotics_2021
650 7 _aInteligencia artificial
_2embne
_9413115
650 7 _aIngeniería civil
_2embne
_9138928
650 7 _aReconocimiento facial (Informática)
_2embne
_9681178
700 1 _aFavorskaya, Margarita N
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFavorskaya, Alena V
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPetrov, Igor B
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJain, Lakhmi C
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789813346185
776 0 8 _iPrinted edition:
_z9789813346208
776 0 8 _iPrinted edition:
_z9789813346215
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4619-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2021
_dz
_eo
_zSI