Wykaz publikacji wybranego autora

Dariusz Jamróz, dr hab., prof. AGH

profesor nadzwyczajny

Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
WEAIiIB-kis, Katedra Informatyki Stosowanej

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / informatyka

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-8126-3595 połącz konto z ORCID

ResearcherID: V-1277-2018

Scopus: 56007589800

PBN: 5e70922b878c28a047391144

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Application of multidimensional data visualization by means of self-organizing Kohonen maps to evaluate classification possibilities of various coal types
2
  • Application of multidimensional scaling to classification of various types of coal
3
  • Application of multi-parameter data visualization by means of autoassociative neural networks to evaluate classification possibilities of various coal types
4
  • Application of multi-parameter data visualization by means of multidimensional scaling to evaluate possibility of coal gasification
5
  • Application of the observational tunnels method to select a set of features sufficient to identify a type of coal
6
  • Comparison of selected methods of multi-parameter data visualization used for classification of coals
7
  • Multidimensional virtual reality-MVR method: a new method of visualization of multidimensional worlds
8
  • The examination of the effect of the criterion for neural network's learning on the effectiveness of the qualitative analysis of multidimensional data
9
  • The experimental study of the effectiveness of Kohonen maps and autoassociative neural networks in the qualitative analysis of multidimensional data by the example of real data describing coal susceptibility to fluidal gasification
10
  • The perspective-based observational tunnels method: a new method of multidimensional data visualization
11
  • The use of neural networks in combination with evolutionary algorithms to optimise the copper flotation enrichment process
12
  • The use of the visualisation of multidimensional data using PCA to evaluate possibilities of the division of coal samples space due to their suitability for fluidised gasification
13
  • Visualization of multidimensional data in purpose of qualitative classification of various types of coal