Zobrazeno 1 - 10
of 4 353
pro vyhledávání: '"A. Celaya"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 41, Iss , Pp 101407- (2023)
This paper proposes a new predictive model for chamfer size calculation in axially spring-compensated 90° conical tools. The goal is to predict cutting forces in the absence of compliance and then apply them to the axial-compliant case. The main con
Externí odkaz:
https://doaj.org/article/38059a0391294553b31bc6ffc8e86288
Autor:
Muthusivarajan, Rajarajeswari, Celaya, Adrian, Farhat, Maguy, Talpur, Wasif, Langshaw, Holly, White, Victoria, Elliott, Andrew, Thrower, Sara, Schellingerhout, Dawid, Fuentes, David, Chung, Caroline
Precise automated delineation of post-operative gross tumor volume in glioblastoma cases is challenging and time-consuming owing to the presence of edema and the deformed brain tissue resulting from the surgical tumor resection. To develop a model fo
Externí odkaz:
http://arxiv.org/abs/2409.15177
Autor:
Celaya, Adrian, Lim, Evan, Glenn, Rachel, Mi, Brayden, Balsells, Alex, Schellingerhout, Dawid, Netherton, Tucker, Chung, Caroline, Riviere, Beatrice, Fuentes, David
Medical imaging segmentation is a highly active area of research, with deep learning-based methods achieving state-of-the-art results in several benchmarks. However, the lack of standardized tools for training, testing, and evaluating new methods mak
Externí odkaz:
http://arxiv.org/abs/2407.21343
Autor:
Maczuga, Paweł, Łoś, Marcin, Valseth, Eirik, Serra, Albert Oliver, Siwik, Leszek, Celaya, Elisabede Alberdi, Paszyńska, Anna, Paszyński, Maciej
The Northern European Enclosure Dam (NEED) is a hypothetical project to prevent flooding in European countries following the rising ocean level due to melting arctic glaciers. This project involves the construction of two large dams between Scotland
Externí odkaz:
http://arxiv.org/abs/2405.02310
Publikováno v:
Radiation Measurements, 2018
The new EU Council Directive 2013/51/Euratom of 22 October 2013 introduced limits for the content of 222Rn in drinking water. Radon analysis in water requires a lengthy task of collection, storage, transport and subsequent measurement in a laboratory
Externí odkaz:
http://arxiv.org/abs/2402.05609
In recent years, autonomous mobile platforms are finding an increasing range of applications in inspection or surveillance tasks, or to the transport of objects, in places such as smart warehouses, factories or hospitals. In these environments it is
Externí odkaz:
http://arxiv.org/abs/2311.10834
We obtain new transference bounds that connect two active areas of research: proximity and sparsity of solutions to integer programs. Specifically, we study the additive integrality gap of the integer linear programs min{cx: x in P, x integer}, where
Externí odkaz:
http://arxiv.org/abs/2311.06605
This paper introduces a framework to study discrete optimization problems which are parametric in the following sense: their constraint matrices correspond to matrices over the ring $\mathbb{Z}[x]$ of polynomials in one variable. We investigate in pa
Externí odkaz:
http://arxiv.org/abs/2311.03845
In recent years, there has been a growing interest in leveraging deep learning and neural networks to address scientific problems, particularly in solving partial differential equations (PDEs). However, many neural network-based methods like PINNs re
Externí odkaz:
http://arxiv.org/abs/2311.00259
Autor:
Celaya, Adrian, Araya-Polo, Mauricio
We introduce a fully 3D, deep learning-based approach for the joint inversion of time-lapse surface gravity and seismic data for reconstructing subsurface density and velocity models. The target application of this proposed inversion approach is the
Externí odkaz:
http://arxiv.org/abs/2310.04430