Zobrazeno 1 - 10
of 3 014
pro vyhledávání: '"Duits A"'
We develop and analyze a new algorithm to find the connected components of a compact set I from a Lie group G endowed with a left-invariant Riemannian distance. For a given delta>0, the algorithm finds the largest cover of I such that all sets in the
Externí odkaz:
http://arxiv.org/abs/2409.18002
We introduce a class of trainable nonlinear operators based on semirings that are suitable for use in neural networks. These operators generalize the traditional alternation of linear operators with activation functions in neural networks. Semirings
Externí odkaz:
http://arxiv.org/abs/2405.18805
Autor:
Cursaru, Vlad-Andrei, Duits, Laura, Milligan, Joel, Ural, Damla, Sanchez, Berta Rodriguez, Stoico, Vincenzo, Malavolta, Ivano
Context. Nowadays, 83% of software developers use Large Language Models (LLMs) to generate code. LLMs recently became essential to increase the productivity of software developers and decrease the time and cost of software development. Developers ran
Externí odkaz:
http://arxiv.org/abs/2405.03616
We compute the genus $0$ free energy for the $2$-matrix model with quartic interactions, which acts as a generating function for the Ising model's partition function on a random, $4$-regular, planar graph. This rigorously confirms the predictions of
Externí odkaz:
http://arxiv.org/abs/2405.03259
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 13, Pp 787-798 (2020)
Jamiu O Busari,1,2 Huriye Yaldiz,3 Reinold OB Gans,4 Ashley J Duits5– 7 1Department of Pediatrics, Horacio Oduber Hospital, Oranjestad, Aruba; 2Department of Educational Development and Research, Faculty of Health, Medicine and Life Sciences, Unive
Externí odkaz:
https://doaj.org/article/688513b6fda84f48ac681799a3ac5816
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 12, Pp 173-182 (2019)
Tessa A van Boekholt,1 Ashley J Duits,2–4 Jamiu O Busari5,6 1Department of Public Health, United Nations High Commissioner for Refugees Uganda Operation, Arua, Uganda; 2Department of Medical Education, St. Elisabeth Hospital, Willemstad, Curaçao;
Externí odkaz:
https://doaj.org/article/b873d16814d34e9e95793fd47b9e7675
Safety-critical infrastructures, such as bridges, are periodically inspected to check for existing damage, such as fatigue cracks and corrosion, and to guarantee the safe use of the infrastructure. Visual inspection is the most frequent type of gener
Externí odkaz:
http://arxiv.org/abs/2403.19492
Automating the current bridge visual inspection practices using drones and image processing techniques is a prominent way to make these inspections more effective, robust, and less expensive. In this paper, we investigate the development of a novel d
Externí odkaz:
http://arxiv.org/abs/2403.17725
PDE-based Group Convolutional Neural Networks (PDE-G-CNNs) utilize solvers of geometrically meaningful evolution PDEs as substitutes for the conventional components in G-CNNs. PDE-G-CNNs offer several key benefits all at once: fewer parameters, inher
Externí odkaz:
http://arxiv.org/abs/2403.15182
The roto-translation group SE2 has been of active interest in image analysis due to methods that lift the image data to multi-orientation representations defined on this Lie group. This has led to impactful applications of crossing-preserving flows f
Externí odkaz:
http://arxiv.org/abs/2402.15322