Ingeniería Mecánica
Departamento
![Foto de Ingeniería Mecánica](/img/uploaded/F85C9C2A1AE2BDC055EFD4D1395C0A6C.jpg)
![Foto de Universidad de Salamanca](/img/noimage_org.png)
Universidad de Salamanca
Salamanca, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Salamanca (22)
2024
-
Evolution of Technical Projects with Social Commitment in Degrees of Industrial Engineering
Towards a Hybrid, Flexible and Socially Engaged Higher Education
-
Evolution of Technical Projects with Social Commitment in Degrees of Industrial Engineering
Lecture Notes in Networks and Systems
2023
-
PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections
Neurocomputing, Vol. 548
-
Preface
Lecture Notes in Networks and Systems
-
Preface
Lecture Notes in Networks and Systems
-
Preface
Lecture Notes in Networks and Systems
-
Preface
Lecture Notes in Networks and Systems
-
Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees
Lecture Notes in Networks and Systems
2022
-
Efectos de la pandemia en metodologías de aprendizaje activo. Medidas de fortalecimiento
La innovación como motor para la transformación de la enseñanza universitaria (Universidad de La Rioja), pp. 51-62
-
Fortaleciendo el aprendizaje activo en tiempos de pandemia
Jornada de Innovación docente de la Universidad de La Rioja 2021: #InnovaDocenteUR: libro de resúmenes
-
Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
-
Active learning methodologies in STEM degrees jeopardized by COVID19
IEEE Global Engineering Education Conference, EDUCON
-
Editorial: Special issue HAIS17-IGPL
Logic Journal of the IGPL
-
PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
PSO-PARSIMONY: a New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
2020
-
BQC: A free web service to quality control solar irradiance measurements across Europe
Solar Energy, Vol. 211, pp. 1-10
-
Technical projects with social commitment for teaching-learning intervention in STEM students
IEEE Global Engineering Education Conference, EDUCON
2019
-
Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method
Sensors (Basel, Switzerland), Vol. 19, Núm. 11
-
Efficient fabrication of polycaprolactone scaffolds for printing hybrid tissue-engineered constructs
Materials, Vol. 12, Núm. 4