Wykaz publikacji wybranego autora

Karol Firek, dr hab. inż., prof. AGH

profesor nadzwyczajny

Wydział Geodezji Górniczej i Inżynierii Środowiska
WGGiIŚ-kgib, Katedra Geodezji Inżynieryjnej i Budownictwa

  • 2023

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria lądowa, geodezja i transport

  • 2020

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria lądowa i transport

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria lądowa i transport

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / inżynieria środowiska, górnictwo i energetyka (25%)

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / inżynieria środowiska

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-0985-6003 połącz konto z ORCID

ResearcherID: brak

Scopus: 36185439600

PBN: 5e709207878c28a04738edc2

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Algorytmy wykrywania struktury sieci Bayesa z danych w ocenie ryzyka powstawania uszkodzeń budynków na terenach górniczych
2
  • Analiza intensywności uszkodzeń budynków typu halowego
3
  • Analiza zmian zakresu uszkodzeń murowanych budynków wielokondygnacyjnych w okresie 10 lat oddziaływań górniczych
4
  • Analysis of damage to masonary multi-storey building structures located in the mining area using data mining techniques
5
  • Analysis of influence of geometric and material properties on dynamic resistance of overpasses subjected to the impact of mining tremors
6
  • Analysis of the extent of damage to prefabricated large-panel building structures located in and outside the mining area
7
  • Analysis of the influence of mining impacts on the intensity of damage to large-panel building structures
8
  • Analysis of the influence of mining impacts on the intensity of damage to masonry building structures
9
  • Assessing the influence of mining impacts on buildings using SVM and MLR method
10
  • Assessing the influence of mining impacts on technical wear of masonry buildings using multiple regression analysis
11
  • Assessment of damage to portal frame buildings located in a mining area
12
  • Assessment of technical condition of prefabricated large-block building structures located in mining area using the Naive Bayes Classifier
13
  • Assessment of time and mining exploitation effects on the technical wear of prefabricated panel buildings
14
  • Bayesian Belief Network in the analysis of damage to prefabricated large-panel building structures in mining areas
15
  • Bayesian networks and Support Vector Classifier in damage risk assessment of RC prefabricated building structures in mining areas
16
  • Classification of building structures located in industrial plants with regard to calculating property tax
17
  • Classification of building structures of mining plants with regard to calculating property tax
18
  • Convolutional neural network and support vector machine for prediction of damage intensity to multi-storey prefabricated RC buildings
19
  • Decision trees in the analysis of the intensity of damage to portal frame buildings in mining areas
20
  • Determining the dynamic resistance of existing steel industrial hall structures for areas with different seismic activity
21
  • Effectiveness of preventive structural protection against mining impacts and Maintenance Management on technical state of masonry buildings
22
  • Evaluating damage to a typical precast warehouse building
23
  • Evaluating the contribution of the most common types of damage on the degree of technical wear of masonry buildings located in mining areas
24
  • Extracting structure of Bayesian network from data in predicting the damage of prefabricated reinforced concrete buildings in mining areas
25
  • Kwalifikacja wybranych budowli w elektrowniach w aspekcie naliczania podatku od nieruchomości