Wykaz publikacji wybranego autora

Krzysztof Regulski, dr hab. inż., prof. AGH

profesor nadzwyczajny

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


  • 2022

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


  • 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: 0000-0001-8080-2254 orcid iD

ResearcherID: D-9860-2013

Scopus: 23502508700

PBN: 5e70920b878c28a04738f0f6

OPI Nauka Polska

System Informacyjny AGH (SkOs)





Liczba pozycji spełniających powyższe kryteria selekcji: 130, z ogólnej liczby 135 publikacji Autora


1
  • A method to make classification of the heat treatment processes performed on bronze using incomplete knowledge
2
  • A procedure for in situ identification of the intermetallic AITMSi phase precipitates in the microstructure of the aluminum alloys
3
  • A user-inspired knowledge system for the needs of metal processing industry
4
  • ADI after austenitising from intercritical temperature
5
  • ADI after austenitising from intercritical temperature
6
  • Analysis of the applicability of domain ontology in copper alloys processing
7
  • Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties
8
  • Application of artificial intelligence methods to predict the parameters of nodular cast iron
9
  • Application of Industry 4.0 mechanisms in medicine on the example of an integrated support system for treatment of Obstructive Sleep Apnea (OSA)
10
  • Application of regression trees in optimization of metal forming process
11
  • Application of selected artificial intelligence methods in a system predicting the microstructure of compacted graphite iron
12
  • Approximation of ausferrite content in the compacted graphite iron with the use of combined techniques of data mining
13
  • Artificial Intelligence in steel industry - from casting to final product
14
  • Artificial Intelligence in steel industry – from casting to final product
15
  • Artificial neural networks as a tool for supporting a moulding sand control system based on the dependency between selected moulding sand properties
16
  • Artificial neural networks as a tool supporting moulding sand control system based on the dependency between selected moulding sand properties
17
  • Aspects of knowledge integration using ontological model in issues of decision support in the process of die forging
18
  • Austempered ductile iron manufacturing data acquisition process with the use of semantic techniques
19
  • Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
20
  • Case-based reasoning system for the selection of silumin alloying elements
21
  • Clinical and polysomnographic features associated with poor sleep quality in patients with obstructive sleep apnea
22
  • Codification as part of knowledge management in research projects in the field of metallurgy
23
  • Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector machine
24
  • Comparing deterministic and statistical approaches for predicting “short can” defects in aluminium beverage can production
25
  • Comparison of the CBR methodology and the CART algorithm applied to problem of casting defects classification