Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Adrian Kłusek"'
Autor:
Marcin Łoś, Witold Dzwinel, Muhammad Amber Hassaan, Adrian Kłusek, Maciej Paszyński, Keshav Pingali
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 343:1-22
We present a parallel solver for isogeometric L2 projections implemented in GALOIS system. We use the solver for isogeometric finite element method simulations of tumor growth. First, we describe the dependencies between the quantities describing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e2bb10c4d20a2d02237d6bf5df328c
https://doi.org/10.1016/j.cma.2018.08.036
https://doi.org/10.1016/j.cma.2018.08.036
Publikováno v:
The International Journal of High Performance Computing Applications. 33:489-506
The application of computer simulation as a tool in predicting cancer dynamics (e.g. during anticancer therapy) requires tumor models, which are nontrivial and, simultaneously, not computationally demanding. To this end, both the level of details and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c878692bea95394acebc67384013358
https://doi.org/10.1177/1094342018816772
https://doi.org/10.1177/1094342018816772
Publikováno v:
Computers in biology and medicine. 137
Classical data assimilation (DA) techniques, synchronizing a computer model with observations, are highly demanding computationally, particularly, for complex over-parametrized cancer models. Consequently, current models are not sufficiently flexible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b20aca9e93309d88be895e76aaabec4
https://pubmed.ncbi.nlm.nih.gov/34488027
https://pubmed.ncbi.nlm.nih.gov/34488027
Autor:
Marek Powroźnik, Michał Kosowski, Piotr Wawryka, Andrzej Piechowicz, Mateusz Paciorek, Marcin Kurdziel, Michał Śledź, Adrian Kłusek, Przemysław Kalawski, Julia Plewa, Wojciech Turek, Aleksander Byrski
Publikováno v:
MoMM
Recently there has been an increasing interest in telematics solutions for vehicles. These systems provide real-time danger detection, driving style evaluation or crash detection services. The provided information can significantly increase driving s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65774ff5f3524725830a2aac59aceede
https://doi.org/10.1145/3365921.3365924
https://doi.org/10.1145/3365921.3365924
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 316:1257-1269
To employ computer models of tumor proliferation for planning cancer treatment, extremely fast numerical solvers are in high demand at least for two reasons: data adaptation and multiscale character of growth dynamics. The number of complex and non-l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa33ca5c2cb7a31f27cb69a9aafcbf75
https://doi.org/10.1016/j.cma.2016.12.039
https://doi.org/10.1016/j.cma.2016.12.039
Publikováno v:
ICCS
Application of computer simulation for predicting cancer progression/remission/ recurrence is still underestimated by clinicians. This is mainly due to the lack of tumor modeling approaches, which are both reliable and realistic computationally. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07436882d480b22434731109932fdbbb
https://doi.org/10.1016/j.procs.2017.05.013
https://doi.org/10.1016/j.procs.2017.05.013
Publikováno v:
The International Journal of High Performance Computing Applications. 32:482-495
We propose a new approach for using GPUs in large scale simulations of pedestrian evacuation. The Social Distances Model is designed for efficient modeling of pedestrian dynamics. This cellular automata based model, when implemented on the most moder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fe48b47f95d40e38e4465d8cc2d6c2
https://doi.org/10.1177/1094342016679492
https://doi.org/10.1177/1094342016679492
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319780238
PPAM (1)
PPAM (1)
Existing computational models of cancer evolution mostly represent very general approaches for studying tumor dynamics in a homogeneous tissue. Here we present two very different cancer models: the heterogeneous continuous/discrete and purely discret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::491e16a03e5e28d4132ceaab26b0c81b
https://doi.org/10.1007/978-3-319-78024-5_44
https://doi.org/10.1007/978-3-319-78024-5_44
Autor:
Adrian Kłusek
Publikováno v:
WSC
We introduce a new concept of data assimilation in simulation of complex systems, such as tumor proliferation, by using supermodeling paradigm. We demonstrate that the integration of the supermodel with real data involves learning only a limited numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e029db523e4851f5cb06b6ae003a9705
https://doi.org/10.1109/wsc.2017.8248244
https://doi.org/10.1109/wsc.2017.8248244