Št. zadetkov: 13
A.C. Neto,
D. Alves,
B. B. Carvalho,
G. De Tommasi,
R. Felton,
H. Fernandes,
P.R. Lomas,
F. Maviglia,
F.G. Rimini,
F. Sartori,
Adam V. Stephen,
D. F. Valcárcel,
L. Zabeo,
Igor Lengar,
Luka Snoj
Izvirni znanstveni članek
Oznake:
jedrska fizika;fizika plazme;
In a tokamak, the accurate estimation of the plasma boundary is essential to maximise the fusion performance and is also the first line of defence for the physical integrity of the device. In particular, the first wall components might get severely damaged if over-exposed to a high plasma thermal lo ...
Leto:
2014
Vir:
Digitalni repozitorij raziskovalnih organizacij Slovenije
Diplomsko delo
Oznake:
govorni razvoj;starši;vzgojitelji;
Dvojezičnost v predšolskem obdobju
Leto:
2013
Vir:
Pedagoška fakulteta (UL PEF)
Izvirni znanstveni članek
Oznake:
internal heat gains;shared socioeconomic pathways;building energy forecasting;XGBoost;energy policy;
Accurate long-term building energy forecasting, essential for climate change mitigation, is often hindered by static internal heat gain assumptions that neglect dynamic socioeconomic shifts. This study addresses this gap in two distinct stages. First, we develop an XGBoost ensemble, leveraging real- ...
Leto:
2026
Vir:
Fakulteta za gradbeništvo in geodezijo (UL FGG)
Izvirni znanstveni članek
Oznake:
grozdje;lastnosti;senzorične lastnosti;sorte;želeji;
Physico-chemical and sensory characteristics of jellies made from seven grapevine (Vitis vinifera L.) varieties
Leto:
2014
Vir:
Biotehniška fakulteta (UL BF)
Magistrsko delo
Oznake:
energetics;artificial intelligence;pricing;price;economic forecasting;research;analysis;
The use of computational intelligence techniques for mid-term electricity price forecasting
Leto:
2021
Vir:
Ekonomska fakulteta (UL EF)
Izvirni znanstveni članek
Oznake:
medicinska fizika;medicinsko slikanje;tumorji;globoko učenje;medical physics;medical imaging;tumors;deep learning;
Objective. Deep learning models are increasingly being implemented for automated medical image analysis to inform patient care. Most models, however, lack uncertainty information, without which the reliability of model outputs cannot be ensured. Several uncertainty quantification (UQ) methods exist ...
Leto:
2025
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake:
digital entrepreneurships;success factors;digital entrepreneurial ecosystems smart cities;digital entrepreneurial models;sharing digital entrepreneurship;digital entrepreneurship co-creation;
Entrepreneurship is widely advocated as a driver of innovation and economic growth. Given today’s techno- logical and digital challenges, digital entrepreneurship in particular is a phenomenon on the rise, both through the digitization of existing businesses and the creation of digital enterprises. ...
Leto:
2022
Vir:
Ekonomska fakulteta (UL EF)
Izvirni znanstveni članek
Oznake:
friction and wear MoSeN coatings;TMDs;PVD sputtering;diverse environment sliding;
Transition metal dichalcogenide (TMD) coatings are gaining increasing interest among the scientific community as eco-friendly solutions for reducing friction, improving energy conservation, and lowering carbon footprints. N-alloyed MoSe▫$_2$▫ coatings (MoSeN), a subset of TMDs, remain largely undere ...
Leto:
2025
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
medicinska fizika;medicinsko slikanje;tumorji;globoko učenje;medical physics;medical imaging;tumors;deep learning;
Objective. Deep learning models that aid in medical image assessment tasks must be both accurate and reliable to be deployed within clinical settings. While deep learning models have been shown to be highly accurate across a variety of tasks, measures that indicate the reliability of these models ar ...
Leto:
2024
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake:
magnetron sputtering;Mo2N/Ag-SiNx multilayered films;coherent strengthening;mechanical properties;tribological properties;
Achieving simultaneous enhancement of both mechanical and self-lubricating properties by incorporating soft lubricants into nitride films has been a longstanding challenge in the development of solid lubricant materials. This paper introduced a novel approach to overcome this challenge by developing ...
Leto:
2025
Vir:
Fakulteta za strojništvo (UL FS)