Results 221 to 230 of about 1,438,246 (328)

Formalization of the arithmetization of Euclidean plane geometry and applications

open access: yesJournal of symbolic computation, 2019
P. Boutry, Gabriel Braun, Julien Narboux
semanticscholar   +1 more source

Automated quality assurance of HDR brachytherapy: Evaluation of Dwell‐position accuracy and Dwell‐time linearity via image processing of radiochromic films

open access: yesPrecision Radiation Oncology, EarlyView.
This study develops a method combining radiochromic film and image processing to assess HDR brachytherapy source accuracy and linearity, achieving high precision and efficiency . Abstract Purpose To develop and validate a fully automated quality assurance method for high‐dose rate (HDR) brachytherapy, enabling the precise evaluation of source dwell ...
Qingqing Yuan   +4 more
wiley   +1 more source

Data-driven optimization of maskless grayscale laser lithography. [PDF]

open access: yesSci Rep
Lutey AHA   +8 more
europepmc   +1 more source

The DNA of Calabi–Yau Hypersurfaces

open access: yesFortschritte der Physik, EarlyView.
Abstract Genetic Algorithms are implemented for triangulations of four‐dimensional reflexive polytopes, which induce Calabi–Yau threefold hypersurfaces via Batyrev's construction. These algorithms are shown to efficiently optimize physical observables such as axion decay constants or axion–photon couplings in string theory compactifications.
Nate MacFadden   +2 more
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

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