Zobrazeno 1 - 10
of 1 001
pro vyhledávání: '"P. Mlakar"'
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 4705-4725 (2024)
We propose a new point-prediction model, the DEep Learning WAVe Emulating model (DELWAVE), which successfully emulates the behaviour of a numerical surface ocean wave model (Simulating WAves Nearshore, SWAN) at a sparse set of locations, thus enablin
Externí odkaz:
https://doaj.org/article/22aa2eb1e98d49bfbdd28668a1ccdb59
Autor:
J. Demaeyer, J. Bhend, S. Lerch, C. Primo, B. Van Schaeybroeck, A. Atencia, Z. Ben Bouallègue, J. Chen, M. Dabernig, G. Evans, J. Faganeli Pucer, B. Hooper, N. Horat, D. Jobst, J. Merše, P. Mlakar, A. Möller, O. Mestre, M. Taillardat, S. Vannitsem
Publikováno v:
Earth System Science Data, Vol 15, Pp 2635-2653 (2023)
Statistical postprocessing of medium-range weather forecasts is an important component of modern forecasting systems. Since the beginning of modern data science, numerous new postprocessing methods have been proposed, complementing an already very di
Externí odkaz:
https://doaj.org/article/144bb11863294241bac719d5cb6e5518
Ensemble forecast post-processing is a necessary step in producing accurate probabilistic forecasts. Conventional post-processing methods operate by estimating the parameters of a parametric distribution, frequently on a per-location or per-lead-time
Externí odkaz:
http://arxiv.org/abs/2303.17610
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 14, Iss 2, Pp 443-457 (2014)
The paper presents an experiment demonstrating a novel and successful application of delay- and disruption-tolerant networking (DTN) technology for automatic data transfer in a karst cave early warning and measuring system. The experiment took place
Externí odkaz:
https://doaj.org/article/b8c083588f1d4aea814f78e6240934b6
Autor:
Bernarda Majc, Anamarija Habič, Marta Malavolta, Miloš Vittori, Andrej Porčnik, Roman Bošnjak, Jernej Mlakar, Alenka Matjašič, Andrej Zupan, Marija Skoblar Vidmar, Tamara Lah Turnšek, Aleksander Sadikov, Barbara Breznik, Metka Novak
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110604- (2024)
Summary: Glioblastoma (GB) is the most common primary malignant brain tumor, characterized by resistance to therapy. Despite aggressive treatment options, GB remains an incurable disease. Invasiveness and heterogeneity are key GB features that cannot
Externí odkaz:
https://doaj.org/article/2811208931514fd98a2e14598552201e
We investigate a novel non-parametric regression-based clustering algorithm for longitudinal data analysis. Combining natural cubic splines with Gaussian mixture models (GMM), the algorithm can produce smooth cluster means that describe the underlyin
Externí odkaz:
http://arxiv.org/abs/2209.09030
Autor:
Mlakar, T., Hribar-Lee, B.
Publikováno v:
Condensed Matter Physics, 2021, Vol.24, No.3, 33606: 1-8
The replica Ornstein-Zernike equations for an electrolyte adsorbed in a charged, disordered matrix were applied to a model, where both subsystems consisted of points carrying a single (positive or negative) charge. While the system as a whole was ele
Externí odkaz:
http://arxiv.org/abs/2110.04589
The humble loop shrinking property played a central role in the inception of modern topology but it has been eclipsed by more abstract algebraic formalism. This is particularly true in the context of detecting relevant non-contractible loops on surfa
Externí odkaz:
http://arxiv.org/abs/2105.13168
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Akademický článek
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