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12. Stabilization of the cart–inverted-pendulum system using state-feedback pole-independent MPC controllersLotfi Messikh, El-Hadi Guechi, Sašo Blažič, 2022, izvirni znanstveni članek Ključne besede: cart–inverted pendulum (CIP) system, explicit control scheme (ECS), cascade control scheme, model predictive control (MPC), pole placement method, coincident pole placement method (CPP), coefficient diagram method (CDM) Celotno besedilo (datoteka, 4,50 MB) Gradivo ima več datotek! Več... |
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16. Clinical and clinical-pharmacogenetic models for prediction of the most common psychiatric complications due to dopamingeric treatment in Parkinson's diseaseSara Redenšek Trampuž, Barbara Jenko Bizjan, Maja Trošt, Vita Dolžan, 2020, izvirni znanstveni članek Ključne besede: Parkinson's disease, polymorphism, pharmacogenetics, impulse control disorders, predictive model, psychiatric complications, visual hallucinations Celotno besedilo (datoteka, 3,37 MB) Gradivo ima več datotek! Več... |
17. Estimating the optimal efflux inhibitor concentration of carvacrol as a function of the bacterial physiological stateAnna Jánosity, József Baranyi, Botond Bendegúz Surányi, Sonja Smole Možina, Andrea Taczman-Brückner, Gabriella Kiskó, Anja Klančnik, 2023, izvirni znanstveni članek Ključne besede: efflux inhibitor, carvacrol, physiological-state-dependent resistance, fluorescence-based assays, predictive modeling Celotno besedilo (datoteka, 1,16 MB) Gradivo ima več datotek! Več... |
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19. Predictive potential of BCS and pharmacokinetic parameters on study outcomeDejan Krajcar, Iztok Grabnar, Rebeka Jereb, Igor Legen, Jerneja Opara, 2023, izvirni znanstveni članek Ključne besede: product development, bioequivalence, risk assessment, predictive potential, biopharmaceutical parameters, pharmacokinetic parameters Celotno besedilo (datoteka, 1,05 MB) Gradivo ima več datotek! Več... |
20. 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) |