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Maialen Murua
Maialen Murua
TECNALIA, Basque Research and Technology Alliance (BRTA)
Verified email at tecnalia.com - Homepage
Title
Cited by
Cited by
Year
Design and integration of WAAM technology and in situ monitoring system in a gantry machine
T Artaza, A Alberdi, M Murua, J Gorrotxategi, J Frías, G Puertas, ...
Procedia Manufacturing 13, 778-785, 2017
552017
Wire arc additive manufacturing of Mn4Ni2CrMo steel: Comparison of mechanical and metallographic properties of PAW and GMAW
T Artaza, A Suárez, M Murua, JC García, I Tabernero, A Lamikiz
Procedia Manufacturing 41, 1071-1078, 2019
222019
Feature extraction-based prediction of tool wear of Inconel 718 in face turning
M Murua, A Suárez, LN de Lacalle, R Santana, A Wretland
Insight-Non-Destructive Testing and Condition Monitoring 60 (8), 443-450, 2018
172018
Data Driven Performance Prediction in Steel Making
F Boto, M Murua, T Gutierrez, S Casado, A Carrillo, A Arteaga
Metals 12 (2), 172, 2022
82022
Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation
M Murua, A Suárez, D Galar, R Santana
IEEE Access 8 (1), 91574-91585, 2020
82020
A slag prediction model in an electric arc furnace process for special steel production
M Murua, F Boto, E Anglada, JM Cabero, L Fernandez
Procedia Manufacturing 54, 178-183, 2021
42021
Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm
M Murua, D Galar, R Santana
Journal of Computational Science 60, 101578, 2022
32022
Solving large flexible job shop scheduling instances by generating a diverse set of scheduling policies with deep reinforcement learning
I Echeverria, M Murua, R Santana
arXiv preprint arXiv:2310.15706, 2023
12023
Operations Research Proceedings 2019: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019
JS Neufeld, U Buscher, R Lasch, D Möst, J Schönberger
Springer International Publishing, 2020
12020
Machine learning-based analysis engine to identify critical variables in multi-stage processes: application to the installation of blind fasteners
M Murua, F Veiga, JA Ortega, M Penalva, A Diez-Olivan
Dyna 95 (5), 534-540, 2020
12020
Adaptation of a branching algorithm to solve the multi-objective Hamiltonian cycle problem
M Murua, D Galar, R Santana
Operations Research Proceedings 2019: Selected Papers of the Annual …, 2020
12020
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
I Echeverria, M Murua, R Santana
arXiv preprint arXiv:2403.09249, 2024
2024
Genetic programming-based automated machine learning approach to solve regression problems
M Murua
Computers and Informatics 3 (1), 19-25, 2023
2023
Advances in Branch-and-Fix methods to solve the Hamiltonian cycle problem in manufacturing optimization
M Murua Etxeberria
2022
Motor de análisis basado en técnicas de aprendizaje automático para la identificación de variables críticas en procesos multietapa: Aplicación a la instalación de remaches ciegos
M Murua, F Veiga, JA Ortega, M Penalva, A Diez-Olivan
Congreso Máquina Herramienta (22CMH), 2019
2019
Application of advanced regression methods for wear prediction of superalloys
M Murua Etxeberria
2018
Tool routing problem based on the Hamiltonian cycle problem for wire arc additive manufacturing
M Murua, R Santana, D Galar, A Suárez
2017
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Articles 1–17