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1st ed. 2021, XX, 797 p. 294 illus., 232 illus. in color. Computational Science – Printed book Softcover ICCS 2021 97,99 € | £84.99 | $119.99 [1]104,85 € (D) | 107,79 € (A) | CHF 21st International Conference, Krakow, Poland, June 16–18, 2021, 116,00 Proceedings, Part I eBook Series: Theoretical Computer Science and General Issues 82,38 € | £67.99 | $89.00 The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the [2]82,38 € (D) | 82,38 € (A) | CHF 92,50 proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented Available from your library or in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 springer.com/shop short papers were accepted to the main track from 156 submissions; 212 full and 43 short [3] MyCopy papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers Printed eBook for just were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High- € | $ 24.99 Performance Computational Earth Sciences: Applications and Frameworks; Applications of springer.com/mycopy Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-) Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Deep Learning Driven Self-adaptive hp Finite Element Method” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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