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 durability analysis of forging tools for different operating conditions with application of a decision support system based on artificial neural networks (ANN)
2
  • A multi-stage process of development of a neural networks based expert system supporting the determination of tool wear in the forging process
3
  • A system of analysis and prediction of the loss of forging tool material applying artificial neural networks
4
  • Algorithm for controling of quench hardening process of constructional steels
5
  • Analysis of the applicability of domain ontology in copper alloys processing
6
  • Application of Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the wear of forging tools
7
  • Application of artificial neural networks in the analysis of mechanisms destroying forging tools
8
  • Application of Bayesian network in the diagnosis of hot-dip galvanising process
9
  • Application of Bayesian networks to diagnostics of hot dip galvanized coasts
10
  • Application of Industry 4.0 mechanisms in medicine on the example of an integrated support system for treatment of Obstructive Sleep Apnea (OSA)
11
  • Application of selected artificial intelligence methods in a system predicting the microstructure of compacted graphite iron
12
  • Application of selected artificial intelligence methods in the system predicting the microstructure of compacted graphite iron
13
  • Approximation of ausferrite content in the compacted graphite iron with the use of combined techniques of data mining
14
  • Artificial neural networks as a tool for supporting a moulding sand control system based on the dependency between selected moulding sand properties
15
  • Artificial neural networks as a tool supporting moulding sand control system based on the dependency between selected moulding sand properties
16
  • Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
17
  • Bayesian networks and fuzzy-logic in hot dip zinc galvanizing defects diagnostics
18
  • Characteristics of ADI ductile cast iron with single addition of 1.56\% Ni
19
  • Clinical and polysomnographic features associated with poor sleep quality in patients with obstructive sleep apnea
20
  • Collecting and formalization of knowledge about surface faults of metal products
21
  • Computer aided design of rotary forming technology with laser beam material heating
22
  • Computer system for casting defects classification based on Polish, French and Czech specifications
23
  • Data-driven model selection for compacted graphite iron microstructure prediction
24
  • Determining the effect of austempering temperature on the morphology of ausferrite in ADI using computer image analysis and X-ray diffractometry
25
  • Differences in polysomnographic (PSG) parameters between obese and non-obese patients with obstructive sleep apnea (OSA)