• Innovation ARIMA models application to predict pressure variations in water supply networks with open-loop control. Case study in Noja (Cantabria, Spain) 

  Muñoz-Rodríguez, David; González-Ortega, Manuel J.; Aguilera Ureña, M. Jesús; Ortega Ballesteros, Andrés; Perea-Moreno, Alberto-Jesús (Elsevier, 2025)

  Water utilities are increasingly concerned about losses, leaks, and illegal connections in their distribution networks. Pressure control is typically managed through pressure reducing valves (PRVs) with electrically ...

• Concurrent variability of soil moisture and apparent electrical conductivity in the proximity of olive trees 

  Martínez, Gonzalo; Laguna Luna, Ana María; Giráldez Cervera, Juan Vicente; Vanderlinden, Karl (Elsevier, 2021)

  Detailed knowledge of soil moisture (θ) is crucial for implementing appropriate soil and crop management decisions and assuring crop productivity and soil functioning. θ measurement is challenging in the stony soils of ...

• A Novel Proposal in Wind Turbine Blade Failure Detection: An Integrated Approach to Energy Efficiency and Sustainability 

  Abarca-Albores, Jordan; Gutiérrez Cabrera, Danna Cristina; Salazar-Licea, Luis Antonio; Ruiz-Robles, Dante; Franco, Jesús Alejandro; Perea-Moreno, Alberto-Jesús; Muñoz-Rodríguez, David; Hernandez-Escobedo, Quetzalcoatl (MDPI, 2024)

  This paper presents a novel methodology for detecting faults in wind turbine blades using computational learning techniques. The study evaluates two models: the first employs logistic regression, which outperformed neural ...

• Assessment of the Final Metrological Characteristics of a MOEMS-Based NDIR Spectrometer Through System Modeling and Data Processing 

  Calaza, Carlos; Meca, Esteban; Moreno, Mauricio; Samitier, Josep; Fonseca, Luis; Gracia, Isabel; Cané, Carles (IEEE, 2003)

  A model of a miniaturized non-dispersive infrared (NDIR) gas analysis system, aiming to predict the final system specifications, is presented. It comprises the different elements of the NDIR detector, including a surface ...

• Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability 

  Balaguer-Núñez, L.; López del Fresno, M.; Solano, E.; Galadí-Enríquez, David; Jordi, C.; Jiménez-Esteban, F.; Masana, E.; Carbajo-Hijarrubia, J.; Paunzen, E. (Oxford University Press, 2020)

  Clusterix 2.0 is a web-based, Virtual Observatory compliant, interactive tool for the determination of membership probabilities in stellar clusters based on proper-motion data using a fully non-parametric method. In an ...

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