Publicaciones en colaboración con investigadoras/es de Universidad de Deusto (16)

2024

  1. Conclusion: Recasting the Future of the European Steel Industry

    Topics in Mining, Metallurgy and Materials Engineering (Springer Science and Business Media Deutschland GmbH), pp. 219-227

  2. Construyendo la sostenibilidad:: Aportación multidisciplinar desde la universidad

    Revista DYNA, Vol. 99, Núm. 3, pp. 256-259

  3. Desarrollo de métodos basados en redes neuronales en la estimación de recursos minerales

    Revista DYNA, Vol. 99, Núm. 3, pp. 303-310

  4. Modelado de la recolección de residuos municipales utilizando herramientas de inteligencia artificial

    Revista DYNA, Vol. 99, Núm. 1, pp. 37-43

2023

  1. Application of the k-Prototype Clustering Approach for the Definition of Geostatistical Estimation Domains

    Mathematics, Vol. 11, Núm. 3

  2. Reshaping Industry Job Profiles to Better Meet Future Asset Management Needs

    Lecture Notes in Mechanical Engineering

2021

  1. 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

  1. A guide for the food industry to meet the future skills requirements emerging with industry 4.0

    Foods, Vol. 9, Núm. 4

  2. Analysis of the air quality of the Basque Autonomous Community using spatial interpolation

    Sustainability (Switzerland), Vol. 12, Núm. 10

  3. Influence of the sampling density in the coestimation error of a regionalized locally stationary variable

    Minerals, Vol. 10, Núm. 2

  4. Modeling the municipalwaste collection using genetic algorithms

    Processes, Vol. 8, Núm. 5

  5. 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

  6. Skills requirements for the European machine tool sector emerging from its digitalization

    Metals, Vol. 10, Núm. 12, pp. 1-23

  7. 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

  1. Multi equipment condition based maintenance optimization using multi-objective evolutionary algorithms

    Applied Sciences (Switzerland), Vol. 9, Núm. 22

  2. Optimal maintenance thresholds to perform preventive actions by using multi-objective evolutionary algorithms

    Applied Sciences (Switzerland), Vol. 9, Núm. 15