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Computational science - ICCS 202121s...

(1998 :)

Computational science - ICCS 202121st International Conference, Krakow, Poland, June 16-18, 2021 : proceedings.Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational science - ICCS 2021edited by Maciej Paszynski ... [et al.].
其他題名:	21st International Conference, Krakow, Poland, June 16-18, 2021 : proceedings.
其他題名:	ICCS 2021
其他作者:	Paszynski, Maciej.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xx, 797 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer science
電子資源:	https://doi.org/10.1007/978-3-030-77961-0
ISBN:	9783030779610$q(electronic bk.)

Computational science - ICCS 202121st International Conference, Krakow, Poland, June 16-18, 2021 : proceedings.Part I /
Computational science - ICCS 202121st International Conference, Krakow, Poland, June 16-18, 2021 : proceedings.Part I /[electronic resource] :ICCS 2021edited by Maciej Paszynski ... [et al.]. - Cham :Springer International Publishing :2021. - xx, 797 p. :ill., digital ;24 cm. - Lecture notes in computer science,127420302-9743 ;. - Lecture notes in computer science ;4891..

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the 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 in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of 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.

ISBN: 9783030779610$q(electronic bk.)

Standard No.: 10.1007/978-3-030-77961-0doiSubjects--Topical Terms:

252805
Computer science

LC Class. No.: QA75.5 / .I23 2021

Dewey Class. No.: 004.0151

Computational science - ICCS 202121st International Conference, Krakow, Poland, June 16-18, 2021 : proceedings.Part I /
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