Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Beatriz Garcı́a"'
Autor:
Ali, Alejandro Mata, Delgado, Iñigo Perez, Markaida, Beatriz García, de Leceta, Aitor Moreno Fdez.
We present a novel method for task optimization in industrial plants using quantum-inspired tensor network technology. This method allows us to obtain the best possible combination of tasks on a set of machines with a set of constraints without havin
Externí odkaz:
http://arxiv.org/abs/2311.10433
Autor:
Delgado, Iñigo Perez, Markaida, Beatriz García, de Leceta, Aitor Moreno Fdez., Uriarte, Jon Ander Ochoa
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 923-929
In this paper, we present an implementation of a Job Selection Problem (JSP) -- a generalization of the well-known Travelling Salesperson Problem (TSP) -- of $N=9$ jobs on its Quadratic Unconstrained Binary Optimization (QUBO) form, using $\mathcal{O
Externí odkaz:
http://arxiv.org/abs/2309.16522
Autor:
Delgado, Iñigo Perez, Markaida, Beatriz García, Ali, Alejandro Mata, de Leceta, Aitor Moreno Fdez.
Publikováno v:
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
We present a subproblemation scheme for heuristical solving of the JSP (Job Reassignment Problem). The cost function of the JSP is described via a QUBO hamiltonian to allow implementation in both gate-based and annealing quantum computers. For a job
Externí odkaz:
http://arxiv.org/abs/2309.16473
Autor:
Delgado, Iñigo Perez, Markaida, Beatriz García, Ali, Alejandro Mata, de Leceta, Aitor Moreno Fdez.
In usual restriction terms of the Quadratic Unconstrained Binary Optimization (QUBO) hamiltonians, a integer number of logical qubits R, called the Integer Restriction Coefficient (IRC), are forced to stay active. In this paper we gather the well-kno
Externí odkaz:
http://arxiv.org/abs/2306.06943
Autor:
Krauskopf, Monique Marcondes a, Antonelo, Daniel Silva b, de Araújo, Chimenes Darlan Leal a, Lopes, Beatriz Garcia a, Ribeiro, Gabriel Henrique c, Colnago, Luiz Alberto c, de Carvalho Balieiro, Júlio César d, Delgado, Eduardo Francisquine a, Ramanathan, Rajith e, Castillo, Carmen Josefina Contreras a, ⁎
Publikováno v:
In Meat Science January 2025 219
Publikováno v:
In Clinical Neurology and Neurosurgery December 2024 247
Autor:
Gonzalo-Navarro, Carlos, Troyano, Antonio J., Bermejo, Beatriz García-Béjar, Organero, Juan Ángel, Massaguer, Anna, Santos, Lucía, Rodríguez, Ana M., Manzano, Blanca R., Durá, Gema
Publikováno v:
In Journal of Inorganic Biochemistry November 2024 260
Autor:
de Siqueira, Carolina Dumke a, Borges, Leandro b, Dal Mora, Tamara a, Saleh, Najla Adel a, Alves, Elizabeth Soethe a, Wopereis, Sandro d, Mendes, Beatriz Garcia c, de Moraes, Ana Carolina Rabello c, Hatanaka, Elaine b, Filippin-Monteiro, Fabíola Branco c, ⁎
Publikováno v:
In Clinical Nutrition ESPEN February 2025 65:365-374
Autor:
Gerage, Aline Mendes, Bezerra, Juciléia Barbosa, Tomicki, Camila, Coneglian, Juliana Cavestré, Souza, Paulo Vitor de, Mendes, Beatriz Garcia, Benedetti, Tania Rosane Bertoldo
Publikováno v:
In Journal of Bodywork & Movement Therapies October 2024 40:295-299
Autor:
Wilm, Frauke, Bertram, Christof A., Marzahl, Christian, Bartel, Alexander, Donovan, Taryn A., Assenmacher, Charles-Antoine, Becker, Kathrin, Bennett, Mark, Corner, Sarah, Cossic, Brieuc, Denk, Daniela, Dettwiler, Martina, Gonzalez, Beatriz Garcia, Gurtner, Corinne, Lehmbecker, Annika, Merz, Sophie, Plog, Stephanie, Schmidt, Anja, Smedley, Rebecca C., Tecilla, Marco, Thaiwong, Tuddow, Breininger, Katharina, Kiupel, Matti, Maier, Andreas, Klopfleisch, Robert, Aubreville, Marc
Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours. Due to high inter-pathologist variability, deep learning-based algorithms are a promising solution to improve tumour prognostication. Path
Externí odkaz:
http://arxiv.org/abs/2012.02495