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242. Deep learning of tissue-specific gene expression from DNA sequencesUroš Polanc, 2023, magistrsko delo Ključne besede: bioinformatics, convolutional neural network, DNA, DNABERT, gene expression, machine learning, sequence motifs, mRNA, predictive models, regulatory mechanisms, tissue-specific gene expression, tissue-specificity
Celotno besedilo (datoteka, 8,50 MB) |
243. A data-driven simulation and Gaussian process regression model for hydraulic press condition diagnosisDenis Jankovič, Marko Šimic, Niko Herakovič, 2024, izvirni znanstveni članek Ključne besede: hydraulic system, artificial intelligence, Gaussian regression modeling, simulation-based learning, condition monitoring, cause and effect analysis
Celotno besedilo (datoteka, 9,29 MB) Gradivo ima več datotek! Več... |
244. Identification of electroporation sites in the complex lipid organization of the plasma membraneLea Rems, Xinru Tang, Fangwei Zhao, Sergio Pérez-Conesa, Ilaria Testa, Lucie Delemotte, 2022, izvirni znanstveni članek Ključne besede: plasma membrane, electric field, pores, molecular dynamics simulation, machine learning, Bayesian survival analysis
Celotno besedilo (datoteka, 3,08 MB) Gradivo ima več datotek! Več... |
245. Application of machine learning models for estimating the material parameters for multiaxial fatigue strength calculationMarko Nagode, Jan Papuga, Simon Oman, 2023, izvirni znanstveni članek Ključne besede: estimation of material parameters, fatigue strength, multiaxial fatigue analysis, machine learning, random forest
Celotno besedilo (datoteka, 1,01 MB) Gradivo ima več datotek! Več... |
246. Search for type-II seesaw mechanism processes with same charge leptons in the final states with the ATLAS detectorBlaž Leban, 2023, doktorska disertacija Ključne besede: ATLAS, CERN, LHC Run 2, left-right symmetry, type-II seesaw, Zee-Babu model, machine learning, boosted decision trees, neural networks, same-charge leptons, doubly charged Higgs, lepton flavour violation
Celotno besedilo (datoteka, 9,17 MB) |
247. Liquid organic hydrogen carrier hydrogenation–dehydrogenationEmilija Rakić, Miha Grilc, Blaž Likozar, 2023, pregledni znanstveni članek Ključne besede: liquid organic hydrogen carrier molecules, LOHC, multiscale modelling chemical reaction kinetics, density functional theory, DFT, computational fluid dynamics, CFD, machine learning, ML, catalysis, H$_2$ storage
Celotno besedilo (datoteka, 11,73 MB) Gradivo ima več datotek! Več... |
248. IPADMatej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc, 2023, izvirni znanstveni članek Ključne besede: biometrics, sclera segmentation, ocular biometrics, ocular segmentation, model pruning, lightweight deep learning
Celotno besedilo (datoteka, 4,52 MB) Gradivo ima več datotek! Več... |
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250. Hierarchical learning of robotic contact policiesMihael Simonič, Aleš Ude, Bojan Nemec, 2024, izvirni znanstveni članek Ključne besede: autonomous robot learning, learning, experience, compliance and impedance control, learning from experience, perception-action coupling, compliant assembly
Celotno besedilo (datoteka, 1,74 MB) Gradivo ima več datotek! Več... |
