Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Juan Parras"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Survival analysis in medical research has witnessed a growing interest in applying deep learning techniques to model complex, high-dimensional, heterogeneous, incomplete, and censored data. Current methods make assumptions about the relation
Externí odkaz:
https://doaj.org/article/440b3a3116254cfca5058339436ffc17
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost. The use of artificial intelligence and knowledge graphs to propose repurposing candi
Externí odkaz:
https://doaj.org/article/214bcb1e00c6445daeae7c62296c2045
Publikováno v:
IEEE Access, Vol 12, Pp 103895-103907 (2024)
The ever-increasing use of generative models in various fields where tabular data is used highlights the need for robust and standardized validation metrics to assess the similarity between real and synthetic data. Current methods lack a unified fram
Externí odkaz:
https://doaj.org/article/68fef6c934fa44269e605296e59605d1
Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data
Autor:
Mar Lahoz Navarro, Jonas Siegfried Jehle, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Matthias Gerdts
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9296 (2024)
In recent years, passive vehicle safety has become one of the major concerns for the automotive industry due to the considerable increase in the use of cars as a means of daily transport. Since real crash testing has a high financial cost, finite ele
Externí odkaz:
https://doaj.org/article/db0963dee803462aa736dfe14efc1646
Autor:
Pablo Velasco, Francisco Bautista, Alba Rubio, Yurena Aguilar, Susana Rives, Jose L. Dapena, Antonio Pérez, Manuel Ramirez, Cristina Saiz-Ladera, Elisa Izquierdo, Adela Escudero, Mireia Camós, Nerea Vega-García, Margarita Ortega, Gloria Hidalgo-Gómez, Carlos Palacio, Pablo Menéndez, Clara Bueno, Joan Montero, Paola A. Romecín, Santiago Zazo, Federico Alvarez, Juan Parras, Carmen Ortega-Sabater, Salvador Chulián, María Rosa, Davide Cirillo, Elena García, Jorge García, Albert Manzano-Muñoz, Alfredo Minguela, Jose L. Fuster
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with survival rates exceeding 85%. However, 15% of patients will relapse; consequently, their survival rates decrease to below 50%. Therefore, several research and innovation stu
Externí odkaz:
https://doaj.org/article/5124b9f3d98a4c79a13549557a869a45
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 4, p 710 (2023)
Many Autonomous Underwater Vehicles (AUVs) need to cope with hazardous underwater medium using a limited computational capacity while facing unknown kinematics and disturbances. However, most algorithms proposed for navigation in such conditions fail
Externí odkaz:
https://doaj.org/article/7151418b175242829ec6b47491fe2a16
Publikováno v:
Sensors, Vol 21, Iss 15, p 5011 (2021)
We use the recent advances in Deep Learning to solve an underwater motion planning problem by making use of optimal control tools—namely, we propose using the Deep Galerkin Method (DGM) to approximate the Hamilton–Jacobi–Bellman PDE that can be
Externí odkaz:
https://doaj.org/article/3b6b8337fe794477bbb6f45526c7f5fe
Publikováno v:
Sensors, Vol 21, Iss 12, p 4060 (2021)
Recent advances in Deep Reinforcement Learning allow solving increasingly complex problems. In this work, we show how current defense mechanisms in Wireless Sensor Networks are vulnerable to attacks that use these advances. We use a Deep Reinforcemen
Externí odkaz:
https://doaj.org/article/29041fa180634856946d270fa96822d0
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2017, Iss 1, Pp 1-15 (2017)
Abstract We solve a communication problem between a UAV and a set of receivers, in the presence of a jamming UAV, using differential game theory tools. We propose a new approach in which this kind of games can be approximated as pursuit-evasion games
Externí odkaz:
https://doaj.org/article/ff00fd6538ed4cc9975dbf07215e852d
Publikováno v:
Sensors, Vol 19, Iss 16, p 3530 (2019)
In recent years, there has been a significant effort towards developing localization systems in the underwater medium, with current methods relying on anchor nodes, explicitly modeling the underwater channel or cooperation from the target. Lately, th
Externí odkaz:
https://doaj.org/article/970bb10063bd4353ad1c57a04a3d2320