Zobrazeno 1 - 10
of 3 858
pro vyhledávání: '"A. Murua"'
Recent advances in deep learning have shown significant potential for solving combinatorial optimization problems in real-time. Unlike traditional methods, deep learning can generate high-quality solutions efficiently, which is crucial for applicatio
Externí odkaz:
http://arxiv.org/abs/2410.15714
In this paper we introduce an algorithm which provides approximate solutions to semi-linear ordinary differential equations with highly oscillatory solutions that after an appropriate change of variables can be written as a non-autonomous system with
Externí odkaz:
http://arxiv.org/abs/2406.03124
Recent advancements in the flexible job-shop scheduling problem (FJSSP) are primarily based on deep reinforcement learning (DRL) due to its ability to generate high-quality, real-time solutions. However, DRL approaches often fail to fully harness the
Externí odkaz:
http://arxiv.org/abs/2403.09249
This overview is devoted to splitting methods, a class of numerical integrators intended for differential equations that can be subdivided into different problems easier to solve than the original system. Closely connected with this class of integrat
Externí odkaz:
http://arxiv.org/abs/2401.01722
In scheduling problems common in the industry and various real-world scenarios, responding in real-time to disruptive events is essential. Recent methods propose the use of deep reinforcement learning (DRL) to learn policies capable of generating sol
Externí odkaz:
http://arxiv.org/abs/2310.15706
Autor:
Tania Gutierrez-Riquelme, Isabel Karkossa, Kristin Schubert, Gudrun Liebscher, Eva-Maria Packeiser, Ingo Nolte, Martin von Bergen, Hugo Murua Escobar, Matias Aguilera-Rojas, Ralf Einspanier, Torsten Stein
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-21 (2024)
Abstract Background Canine mammary tumours (CMT) are among the most common types of tumours in female dogs. Diagnosis currently requires invasive tissue biopsies and histological analysis. Tumour cells shed extracellular vesicles (EVs) containing RNA
Externí odkaz:
https://doaj.org/article/6b82ff116b92467b87df9f0f5b4835ce
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-11 (2024)
ABSTRACTAdditive Manufacturing (AM) processes have the capability to promote a more rational use of resources, reduce generated waste, as well as repair damaged components to extend their lifespan. With the aim of contributing to a more efficient and
Externí odkaz:
https://doaj.org/article/0d8749dbb7284769a90a41f4202682ec
Autor:
Jesica Cecilia Otaño, Victoria Murua, Julieta Rugilo, Aixa Reusmann, Camila Gonzalez Ruhrnschopf, Diana Fariña, Gisela Lujan Salas
Publikováno v:
Anales de Pediatría (English Edition), Vol 101, Iss 1, Pp 29-35 (2024)
Introduction: Congenital diaphragmatic hernia (CDH) remains a therapeutic challenge. The surgical classification recommended by the Congenital Diaphragmatic Hernia study group (CDHSG), based on the size of the defect, is used for staging in reference
Externí odkaz:
https://doaj.org/article/29b99775eef84335b2d2bd2589667299
Publikováno v:
BMJ Open, Vol 14, Iss 9 (2024)
Objectives To validate and test the generalisability of the SASKit-ML pipeline, a prepublished feature selection and machine learning pipeline for the prediction of health deterioration after a stroke or pancreatic adenocarcinoma event, by using it t
Externí odkaz:
https://doaj.org/article/b6f9dcb638904b43accad7abe587e898
Publikováno v:
Chemical Engineering Transactions, Vol 109 (2024)
Lignocellulosic biochar has become a research hotspot recently due to its versatility in several applications for environmental remediation. It is a sustainable material, which has been proven to offer high performance in applications such as effluen
Externí odkaz:
https://doaj.org/article/c20c321d224241cfa9da501c606204c2