Wykaz publikacji wybranego autora

Barbara Mrzygłód, dr hab. inż., prof. AGH

poprzednio: Marek

profesor nadzwyczajny

Wydział Inżynierii Metali i Informatyki Przemysłowej
WIMiIP-kism, Katedra Informatyki Stosowanej i Modelowania

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria materiałowa

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja (25%)

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

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-9619-5305 orcid iD

ResearcherID: T-1279-2018

Scopus: 36160671200

PBN: 5e70920b878c28a04738f0e5

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • A system of analysis and prediction of the loss of forging tool material applying artificial neural networks
2
  • Application of Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the wear of forging tools
3
  • Bayesian networks and fuzzy-logic in hot dip zinc galvanizing defects diagnostics
4
  • Clinical and polysomnographic features associated with poor sleep quality in patients with obstructive sleep apnea
5
  • Collecting and formalization of knowledge about surface faults of metal products
6
  • Computer system for casting defects classification based on Polish, French and Czech specifications
7
  • Data-driven model selection for compacted graphite iron microstructure prediction
8
  • Differences in polysomnographic (PSG) parameters between obese and non-obese patients with obstructive sleep apnea (OSA)
9
  • Effect of austempering parameters on microstructure of ADI with 1.5\% Ni
10
  • Influence of process parameters on the properties of Austempered Ductile Iron (ADI) examined with the use of data mining methods
11
  • Machine learning studies in materials science
12
  • Modelling the high-temperature deformation characteristics of S355 steel using artificial neural networks
13
  • Numerical modelling of austenite-ferrite transformation in ADI
14
  • Prediction of forging dies wear with the modified Takagi-Sugeno fuzzy identification method
15
  • Quantitative analysis of selected parameters of the microstructure of ADI with the addition of Ni
16
  • Sensitivity analysis of the artificial neural network inputs in a system to durability prediction of forging tools
17
  • Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel
18
  • Systematic coronary risk evaluation among obstructive sleep apnea patients
19
  • The expert system supporting the assessment of the durability of forging tools
20
  • The study phase transformations in nodular cast iron with additions of Ni, Cu, Mo
21
  • The system for integration of heterogeneous data sources in the domain of Obstructive Sleep Apnea
22
  • X-ray diffraction analysis of the heat treated spheroidal cast iron
23
  • X-ray structural analysis of ductile iron with the addition of Ni heat-treated under isothermal conditions