Titlebook: Computational Science – ICCS 2021; 21st International C Maciej Paszynski,Dieter Kranzlmüller,Peter M.A. Sl Conference proceedings 2021 Spri

敬禮

https://doi.org/10.1007/978-3-030-44381-8lied at the later stages of the design process to tune the geometry and/or material parameter values. To ensure sufficient accuracy, parameter adjustment is realized at the level of full-wave electromagnetic (EM) analysis, which creates perhaps the most important bottleneck due to the entailed compu

UTTER

Gloria Osei,Alison Pooley,Federica Pascaletion layers are often constructed from tetrahedral finite elements. The refinement algorithms that avoids hanging nodes are desired in order to avoid constrained approximation on broken edges and faces. We present a new mesh refinement algorithm for such the tetrahedral grids, with the following fea

cancer

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233094.jpg

Estimable

Osteons

https://doi.org/10.1007/978-3-030-77970-2artificial intelligence; computer networks; correlation analysis; genetic algorithms; image processing; n

意外

978-3-030-77969-6Springer Nature Switzerland AG 2021

Enrage

0302-9743 putational 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

蝕刻術(shù)

Sustainable Digital Communitiesrent explanations for the same tasks. In this work, we present an approach that aims at combining several XAI algorithms into one ensemble explanation mechanism via quantitative, automated evaluation framework. We focus on model-agnostic explainers to provide most robustness and we demonstrate our approach on image classification task.

夸張

Synchronism

Sustainable Digital Transformationividual RAS-based farming ponds is possible using the selected local image features without the necessity of camera calibration. The experimental results have been achieved for the images acquired in the RAS-based rainbow trout farming ponds and verified using some publicly available video sequences from tilapia and catfish feeding.