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pro vyhledávání: '"René Fabricius"'
Publikováno v:
Communications, Vol 23, Iss 4, Pp E68-E75 (2021)
The public service system serves population spread over a geographical area from a given number of service centers. One of the possible approaches to the problem with two or more simultaneously applied contradicting objectives is determination of the
Externí odkaz:
https://doaj.org/article/96d1b4cb22234bc1a8b14fef306e194e
Autor:
René Fabricius, Ondrej Šuch
Publikováno v:
Transportation Research Procedia. 55:1289-1295
In this article we report on experiments on detection of vowel segments in speech with additive noise. Deep neural networks have become the key algorithm in the majority of modern machine learning solutions. We investigate the performance of four Ima
Autor:
René Fabricius, Dobroslav Grygar
Publikováno v:
Transportation Research Procedia. 40:1335-1342
The Pareto front determination is an important part of multiobjective problem solving when two or more contradictory objectives must be considered. This paper deals with the emergency service system design problem where the demand for minimal average
Publikováno v:
IEEE Access, Vol 11, Pp 77703-77715 (2023)
Ensembling is a popular and powerful technique to utilize predictions from several different machine learning models. The fundamental precondition of a well-working ensemble model is a diverse set of combined constituents. Rapid development in the de
Externí odkaz:
https://doaj.org/article/d0636749f91d41928d1ed1e185cc952b
Autor:
Jaroslav Janacek, Rene Fabricius
Publikováno v:
IEEE Access, Vol 9, Pp 130665-130679 (2021)
Multi-criteria optimization problems represent a crucial task for any designer of a public service system due to conflicting criteria, which have to be faced. Possible solution of this almost unsolvable situation can be seen in obtaining a series of
Externí odkaz:
https://doaj.org/article/98e5110dbe17444daf27f2c2bd7d57f1
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