Aitor
Oyarbide Zubillaga
Publicacións nas que colabora con Aitor Oyarbide Zubillaga (15)
2024
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Metallurgical Copper Recovery Prediction Using Conditional Quantile Regression Based on a Copula Model
Minerals, Vol. 14, Núm. 7
2023
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Application of the k-Prototype Clustering Approach for the Definition of Geostatistical Estimation Domains
Mathematics, Vol. 11, Núm. 3
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Estudio de las deformaciones de contenedores de cartón corrugado sometidos a presión interna
Revista DYNA, Vol. 98, Núm. 3, pp. 223-227
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Identifying the future skills requirements of the job profiles related to sustainability in the engineering sector
Journal of Positive Psychology and Wellbeing, Vol. 7, Núm. 4, pp. 292-309
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Reshaping Industry Job Profiles to Better Meet Future Asset Management Needs
Lecture Notes in Mechanical Engineering
2021
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Future skills requirements of the food sector emerging with industry 4.0
Innovation Strategies in the Food Industry: Tools for Implementation, Second Edition (Elsevier), pp. 253-285
2020
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A guide for the food industry to meet the future skills requirements emerging with industry 4.0
Foods, Vol. 9, Núm. 4
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Analysis of the air quality of the Basque Autonomous Community using spatial interpolation
Sustainability (Switzerland), Vol. 12, Núm. 10
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Implantación de un sistema Business Intelligence para la Revista DYNA
Revista DYNA, Vol. 95, Núm. 5, pp. 482-486
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Modeling the municipalwaste collection using genetic algorithms
Processes, Vol. 8, Núm. 5
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Skills needs of the civil engineering sector in the european union countries: Current situation and future trends
Applied Sciences (Switzerland), Vol. 10, Núm. 20, pp. 1-24
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Skills requirements for the European machine tool sector emerging from its digitalization
Metals, Vol. 10, Núm. 12, pp. 1-23
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Validation of real case solving (RCS) methodology as an efficient engineering learning tool
Journal of Open Innovation: Technology, Market, and Complexity, Vol. 6, Núm. 4, pp. 1-15
2019
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Multi equipment condition based maintenance optimization using multi-objective evolutionary algorithms
Applied Sciences (Switzerland), Vol. 9, Núm. 22
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Optimal maintenance thresholds to perform preventive actions by using multi-objective evolutionary algorithms
Applied Sciences (Switzerland), Vol. 9, Núm. 15