Wykaz publikacji wybranego autora

Janusz Rusek, dr hab. inż., prof. AGH

profesor nadzwyczajny

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


  • 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 / geodezja i kartografia


Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-0368-2580

ResearcherID: P-4718-2016

Scopus: 7004213054

PBN: 5e709208878c28a04738ee00

OPI Nauka Polska

System Informacyjny AGH (SkOs)




1
  • Analiza zmian zakresu uszkodzeń murowanych budynków wielokondygnacyjnych w okresie 10 lat oddziaływań górniczych
2
  • Analysis of influence of geometric and material properties on dynamic resistance of overpasses subjected to the impact of mining tremors
3
  • Analysis of the influence of mining impacts on the intensity of damage to large-panel building structures
4
  • A proposal for an assessment method of the dynamic resistance of concrete slab viaducts subjected to impact loads caused by mining tremors
5
  • Application of Support Vector Machine in the analysis of the technical state of development in the LGOM mining area
6
  • Assessing the influence of mining impacts on buildings using SVM and MLR method
7
  • Assessing the influence of mining impacts on technical wear of masonry buildings using multiple regression analysis
8
  • Assessment of damage to portal frame buildings located in a mining area
9
  • Assessment of technical condition of prefabricated large-block building structures located in mining area using the Naive Bayes Classifier
10
  • Assessment of time and mining exploitation effects on the technical wear of prefabricated panel buildings
11
  • Bayesian Belief Network in the analysis of damage to prefabricated large-panel building structures in mining areas
12
  • Bayesian networks and Support Vector Classifier in damage risk assessment of RC prefabricated building structures in mining areas
13
  • Budowa modelu przebiegu zużycia technicznego budynków na terenach górniczych z wykorzystaniem metody wektorów podpierających „support vector machine” w ujęciu regresyjnym
14
  • Computational intelligence methods in the problem of modelling technical wear of buildings in mining areas
15
  • Creating a model of technical wear of buildings in mining areas with the use of fuzzy inference systems
16
  • Creating model of technical wear of building in mining area, with utilization of regressive approach
17
  • Decision trees in the analysis of the intensity of damage to portal frame buildings in mining areas
18
  • Determining the dynamic resistance of existing steel industrial hall structures for areas with different seismic activity
19
  • Direct least squares and derivative-free optimisation techniques for determining mine-induced horizontal ground displacement
20
  • Estimation of the parameters affecting the water pipelines on the mining terrains with a use of an adaptive fuzzy system
21
  • Extracting structure of Bayesian network from data in predicting the damage of prefabricated reinforced concrete buildings in mining areas
22
  • Influence of the seismic intensity of the area on the assessment of dynamic resistance of bridge structures
23
  • Kształtowanie hal stalowych na terenach górniczych
24
  • Machine learning for determining dynamic characteristics of portal frame buildings
25
  • Machine-learning methods for assessing dynamic resistance of existing bridge structures subjected to mining tremors