Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Petia KOPRINKOVA-HRISTOVA"'
Publikováno v:
Journal of Information and Telecommunication, Vol 6, Iss 1, Pp 1-5 (2022)
Externí odkaz:
https://doaj.org/article/f8d1c2c7b6e246a5bc71d55f5eb87b34
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 5, Iss 2, Pp 187-193 (2021)
Data analysis are important tasks in research. The present study focuses on the analysis of data sets from human eye movement experiments. The results of the experiments were analyzed according to two criteria – gender and age of the participants.
Externí odkaz:
https://doaj.org/article/c754ebbb0771407c90002df36a63b194
Publikováno v:
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol 7, Iss 2, Pp 225-232 (2013)
In the recent years, intelligent methods as artificial neural networks are successfully applied for data analysis from different fields of the geosciences. One of the encountered practical problems is the availability of gaps in the time series that
Externí odkaz:
https://doaj.org/article/219a14ef2e7d4f289543a5d74dd1f228
Publikováno v:
Bioautomation, Vol 13, Iss 3, Pp 15-26 (2009)
The present paper presents a hybrid model of yogurt starter mixed culture fermentation. The main nonlinearities within a classical structure of continuous process model are replaced by neural networks. The new hybrid model accounts for the dependence
Externí odkaz:
https://doaj.org/article/76dc351a8b1f4a24b38d35f85d35c8e1
Publikováno v:
International Journal Bioautomation, Vol 19, Iss suppl. 1, Pp S113-S124 (2015)
In the present paper a neural network approach called "Adaptive Critic Design" (ACD) was applied to optimal tuning of set point controllers of the three main substrates (sugar, nitrogen source and dissolved oxygen) for PHB production process. For app
Externí odkaz:
https://doaj.org/article/6f11d9e6ecd04af39a3fea8e3e40cff7
Publikováno v:
The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, Vol 34, Iss 3 (2011)
The paper proposes a model-based approach for the design of martenzite structure steels with improved mechanical and plastic characteristics using proper composition and thermal treatment. For that purpose, artificial neural models approximating the
Externí odkaz:
https://doaj.org/article/71ce9225d4434e79beb30ddc730cc4c2
Publikováno v:
Numerical Methods and Applications ISBN: 9783031324116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e974cb383ae3c9ffac4164faa2744c
https://doi.org/10.1007/978-3-031-32412-3_18
https://doi.org/10.1007/978-3-031-32412-3_18
Publikováno v:
Cluster Computing. 25:1637-1644
The paper presents a supercomputer parallel implementation of a brain inspired model combining a Python module simulating a layer of retina ganglion cells and NEST Simulator for a layer of spike timing neurons of Lateral geniculate nucleus (LGN) in t
Publikováno v:
Contemporary Methods in Bioinformatics and Biomedicine and Their Applications ISBN: 9783030966379
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::511a7cf2ef07b155c35e351845b185a2
https://doi.org/10.1007/978-3-030-96638-6_25
https://doi.org/10.1007/978-3-030-96638-6_25
Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3052d9bbfc914a8da9a359f9837338b
https://zenodo.org/record/5152635
https://zenodo.org/record/5152635