41. Advanced PV performance modelling based on different levels of irradiance data accuracyJulián Andrés Ascencio Vásquez, Jakob Bevc, Kristjan Reba, Kristijan Brecl, Marko Jankovec, Marko Topič, 2020, izvirni znanstveni članek Ključne besede: PV performance modelling, data filtering, PV systems, machine learning, lightGBM Celotno besedilo (datoteka, 5,05 MB) Gradivo ima več datotek! Več... |
42. Analysis of command and control connections using machine learning algorithmsJAKOB PREMRN, 2020, magistrsko delo/naloga Ključne besede: machine learning, imbalanced dataset, command and control, C2, C&C, Zeek, Random forest, Decision tree Celotno besedilo (datoteka, 4,92 MB) |
43. Forecasting electricity pricesMauro Castelli, Aleš Groznik, Aleš Popovič, 2020, izvirni znanstveni članek Ključne besede: energetics, price, informatics, energy sector, electricity prices, forecasting, machine learning, geometric semantic, based programming Celotno besedilo (datoteka, 2,00 MB) Gradivo ima več datotek! Več... |
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46. Search for type-III seesaw heavy leptons with the ATLAS detector at the LHCTadej Novak, 2020, doktorska disertacija Ključne besede: seesaw mechanism, type-III seesaw, fermion triplet, machine learning, boosted decision trees, neural networks, ATLAS, CERN, LHC Run 2, dilepton, two jets, missing transverse energy Celotno besedilo (datoteka, 6,47 MB) |
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48. Condition classification of heating systems valves based on acoustic features and machine learningPrimož Potočnik, Borja Olmos Lopez-Roso, Lučka Vodopivec, Egon Susič, Edvard Govekar, 2020, izvirni znanstveni članek Ključne besede: valves, district heating, acoustic features, feature selection, classification, machine learning Celotno besedilo (datoteka, 1,76 MB) Gradivo ima več datotek! Več... |
49. Preference elicitation with argument-based machine learningJure Grabnar, 2020, magistrsko delo Ključne besede: knowledge acquisition, preference elicitation, argument-based machine learning, convolutional neural networks, weakly supervised object localization, transfer learning, online dating Celotno besedilo (datoteka, 21,57 MB) |
50. Machine-learning-based multi-step heat demand forecasting in a district heating systemPrimož Potočnik, Primož Škerl, Edvard Govekar, 2021, izvirni znanstveni članek Ključne besede: district heating, heat demand, short-term forecasting, machine learning, Gaussian process regression Celotno besedilo (datoteka, 1,98 MB) Gradivo ima več datotek! Več... |