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Št. zadetkov: 4
Self-healing efficiency of ceria-doped Zn-Co coatings
Marija Mitrović, Anđela Simović, Regina Fuchs-Godec, Milorad V. Tomić, Jelena B. Bajat
Izvirni znanstveni članek
Oznake: pametni nanomateriali;nanokompoziti;Zn-Co-CeO2;smart nanomaterials;self-repair;ceria-doping;nanocomposites;
Achieving the superior properties of nanocomposite materials involves addressing several challenges, particularly the agglomeration of nanoparticles in the plating bath. This study focuses on the electrodeposition and characterization of Zn-Co-CeO2composite coatings using a particle-free plating bat ...
Leto: 2024 Vir: Fakulteta za kemijo in kemijsko tehnologijo (UM FKKT)
Urbicid v Sarajevu 1992 – 1996
Špela Bajat, Mitja Ferenc
Diplomsko delo
Oznake: urbicid;Sarajevo;vojna;Bosna in Hercegovina;kolektivni spomin;uničevanje mesta;bolonjska diplomska dela;
Diplomsko delo raziskuje značilnosti in razsežnosti urbicida skozi analizo dogodkov med obleganjem Sarajeva v letih 1992 do 1996. Ob tem je izpostavljeno ne le uničenje fizične infrastrukture, temveč tudi načrtno uničevanje simbolnega bistva mesta in njegove kulturne in družbene identitete. Obleganj ...
Leto: 2024 Vir: Filozofska fakulteta (UL FF)
Estimating the performance of random forest versus multiple regression for predicting prices of the apartments
Marjan Čeh, Milan Kilibarda, Anka Lisec, Branislav Bajat
Izvirni znanstveni članek
Oznake: random forest;OLS;hedonic price model;PCA;Ljubljana;
The goal of this study is to analyse the predictive performance of the random forest machine learning technique in comparison to commonly used hedonic models based on multiple regression for the prediction of apartment prices. A data set that includes 7407 records of apartment transactions referring ...
Leto: 2018 Vir: Fakulteta za gradbeništvo in geodezijo (UL FGG)
Landslide assessment of the Strača basin (Croatia) using machine learning algorithms
Miloš Marjanović, Miloš Kovačević, Branislav Bajat, Snježana Mihalić Arbanas, Biljana Abolmasov
Izvirni znanstveni članek
Oznake: landslides;support vector machines;decision trees classifier;Starča Basin;
In this research, machine learning algorithms were compared in a landslide-susceptibility assessment. Given the input set of GIS layers for the Starča Basin, which included geological, hydrogeological, morphometric, and environmental data, a classification task was performed to classify the grid cel ...
Leto: 2011 Vir: Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo (UM FGPA)
Št. zadetkov: 4
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