@article{1434709,
      recid = {1434709},
      author = {Favorskaya, Margarita N., and Favorskaya, Alena V., and  Petrov, Igor and Jain, L. C.,},
      title = {Smart modelling for engineering systems : proceedings of  the International Conference on Computational Methods in  Continuum Mechanics (CMCM 2021)., Volume 1 /. International  Conference on Computational Methods in Continuum Mechanics},
      pages = {1 online resource (xii, 302 pages) :},
      note = {International conference proceedings. Conference held in  Dolgoprudny, Moscow Region, 15-17 April 2021.},
      abstract = {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,  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.},
      url = {http://library.usi.edu/record/1434709},
      doi = {https://doi.org/10.1007/978-981-33-4709-0},
}