1. Realiability estimation in regression supported with meta-learning and principal component analysisMarija Radović, 2010, diplomsko delo Ključne besede: reliability estimates, reliability, prediction error, meta-learning, principal component analysis, predictions, machine learning, computer science, diploma Celotno besedilo (datoteka, 1,53 MB) |
2. Network structural properties and their application to missing property predictionKlemen Simonič, 2013, diplomsko delo Ključne besede: Linked Data, graph mining, network, structural properties, missing properties, prediction, computer science, computer and information science, computer science and mathematics, diploma Celotno besedilo (datoteka, 1,06 MB) |
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4. Geosynthetic-encased stone columns - analytical calculation modelBoštjan Pulko, Bojan Majes, Janko Logar, 2010, izvirni znanstveni članek Ključne besede: soil improvement stone, columns, geosynthetic, encasement, settlement, prediction, elastoplastic solution Celotno besedilo (datoteka, 1,15 MB) |
5. Analiza in napoved pomikov za predore, grajene v premo-karbonskih skrilavcihJure Klopčič, 2009, doktorska disertacija Ključne besede: civil enginering, doctoral thrsis, tunnelling, 3D displacement measurements, automatic system for data processing, monitoring data, exploratory tunnel, 3D displacement measurements ahead of the faca, automatic target recognition (ATR), 3D numerical back calculations, extrapolation prediction method, rock mass anisotropy Celotno besedilo (datoteka, 14,52 MB) |
6. Reply to the discussion by Khabbazian, M., Meehan, C.L. and Kaliakin, V. N. on "Geosynthetic - encased stone columns: Analytical calculation model"Boštjan Pulko, Bojan Majes, Janko Logar, 2011, izvirni znanstveni članek Ključne besede: soil improvement stone, columns, geosynthetic, encasement, settlement, prediction, elastoplastic solution Celotno besedilo (datoteka, 287,19 KB) |
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8. Neural networks for predicting the temperature-dependent viscoelastic response of PEEK under constant stress rate loadingAlexandra Aulova, Alen Oseli, Marko Bek, 2021, izvirni znanstveni članek Ključne besede: PEEK, temperature, neural network, multilayer perceptron, constant stress rate, prediction, modeling, high-performance polymers, composites Celotno besedilo (datoteka, 4,69 MB) Gradivo ima več datotek! Več... |
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