Ingeniería Industrial

2024

1. A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production

   Neurocomputing, Vol. 565

2. A New Deep Learning Methodology for Alarm Supervision in Marine Power Stations

   Sensors, Vol. 24, Núm. 21

3. A One-Class-Based Supervision System to Detect Unexpected Events in Wastewater Treatment Plants

   Applied Sciences (Switzerland), Vol. 14, Núm. 12

4. A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport

   Expert Systems, Vol. 41, Núm. 2

5. An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context

   Energies , Vol. 17, Núm. 11

6. Assessment of Engineering Undergraduates Active Learning Experience using Computer Simulations

   International Journal of Engineering Education, Vol. 40, Núm. 2, pp. 358-367

7. Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices

   Logic Journal of the IGPL, Vol. 32, Núm. 2, pp. 352-365

8. Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families

   Logic Journal of the IGPL, Vol. 32, Núm. 2, pp. 306-320

9. Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach

   Logic Journal of the IGPL, Vol. 32, Núm. 4, pp. 712-728

10. Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations

    Sensors, Vol. 24, Núm. 8

11. Dispositivo configurable para modelar y analizar comportamientos de consumo de agua

    Jornadas de Automática, Núm. 45

12. Dynamic Malware Mitigation Strategies for IoT Networks: A Mathematical Epidemiology Approach

    Mathematics, Vol. 12, Núm. 2

13. Energy Analysis of Standardized Shipping Containers for Housing

    Inventions, Vol. 9, Núm. 5

14. Enhanced Performance of a Hydrokinetic Turbine through a Biomimetic Design

    Journal of Marine Science and Engineering, Vol. 12, Núm. 8

15. Exploring the Efficacy of Binary Surveys versus Likert Scales in Assessing Student Perspectives Using Bayesian Analysis

    Applied Sciences (Switzerland), Vol. 14, Núm. 10

16. Research skills R+D+I and industry 4.0, STEM and TRIZ and their application in the professional skills of applied physics students

    Revista Mexicana de Fisica E, Vol. 21, Núm. 1

17. Soft-Computing Techniques to Address Industrial and Environmental Challenges

    Cybernetics and Systems, Vol. 55, Núm. 6, pp. 1311-1313

18. Virtual laboratories for distance learning in STEAM degrees

    Revista de investigación en educación, Vol. 22, Núm. 1, pp. 87-106