Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Karel Macek"'
Publikováno v:
Beilstein Journal of Organic Chemistry, Vol 18, Iss 1, Pp 438-445 (2022)
The human drugs – the antibiotic linezolid (1) and the anticoagulant rivaroxaban (2) – belong among modern pharmaceutics, which contain an oxazolidine-2-one moiety bearing a stereogenic center. The chirality of these drugs is a fundamental attrib
Externí odkaz:
https://doaj.org/article/eb7b560020e747b7bdf27cc618575c9e
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 2, Iss 2, Pp 53-64 (2013)
The solution of repeated fixed-horizon trajectory optimization problems of processes that are either too difficult or too complex to be described by physics-based models can pose formidable challenges. Very often, soft-computing methods e.g. black-bo
Externí odkaz:
https://doaj.org/article/e95f242e9dcc45fc818168d8f0013af3
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 5, Pp 53-64 (2013)
The solution of repeated fixed-horizon trajectory optimization problems of processes that are either too difficult or too complex to be described by physics-based models can pose formidable challenges. Very often, soft-computing methods e.g. black-bo
Externí odkaz:
https://doaj.org/article/98a1323320734a4d9109c983815c50e6
Publikováno v:
Proceedings of the 25th International Conference on Enterprise Information Systems.
The human drugs – antibiotic Linezolid (1) and anticoagulant Rivaroxaban (2) – belongs among modern pharmaceutics, which contain oxazolidine-2-one moiety bearing stereogenic centre. The chirality of these drugs is fundamental attribute of their b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be28de1f9ccf5d20ed7146098c0aeac
https://doi.org/10.3762/bxiv.2022.4.v1
https://doi.org/10.3762/bxiv.2022.4.v1
Autor:
Silvestr Stanko, Karel Macek
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030705930
In this paper we focus on reinforcement learning algorithms that are sensitive to risk. The notion of risk we work with is the well-known conditional value-at-risk (CVaR). We describe a faster method for computing value iteration updates for CVaR mar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b094b7a323e603e102d6ffca5f13ce4
https://doi.org/10.1007/978-3-030-70594-7_14
https://doi.org/10.1007/978-3-030-70594-7_14
Autor:
Mischa Schmidt, Alfonso Gordaliza Pastor, Karel Mařík, Karel Macek, Anett Schulke, M. Victoria Moreno
Publikováno v:
Energy and Buildings. 148:257-279
Fossil fuels serve a substantial fraction of global energy demand, and one major energy consumer is the global building stock. In this work, we propose a framework to guide practitioners intending to develop advanced predictive building control strat
Autor:
Silvestr Stanko, Karel Macek
Publikováno v:
IJCCI
Conditional Value-at-Risk (CVaR) is a well-known measure of risk that has been directly equated to robustness, an important component of Artificial Intelligence (AI) safety. In this paper we focus on optimizing CVaR in the context of Reinforcement Le
Publikováno v:
Energy and Buildings. 150
Combustion in a biomass-fired boiler causes build-up of soot, which reduces the heat transfer and decreases the efficiency of operation. In order to mitigate this natural occurrence, cleaning via soot blowing is an important maintenance action. The o
Autor:
Jiri Vlcek, Donald E. Morisky, Zdenek Zadak, P. Vyroubal, Petra Matoulková, Karel Macek, Katerina Ladova
Publikováno v:
Journal of Evaluation in Clinical Practice. 20:671-677
Rationale, aims and objectives Measuring self-reported adherence may contribute to minimizing the risk of therapy failure. Hence, the main aim of the study was to assess the psychometric properties of the Czech version of Medication Adherence Report