All Stories

  1. Interpretation of a Machine Learning Model for Short-Term High Streamflow Prediction

    Article • Earth, July 2025, MDPI AG

    PhD Fenando Salazar

  2. Adaptive Warning Thresholds for Dam Safety: A KDE-Based Approach

    Article • Infrastructures, June 2025, MDPI AG

    PhD Fenando Salazar

  3. Influence of breach parameter models on hazard classification of off-stream reservoirs

    Article • Water Science and Engineering, March 2025, Tsinghua University Press

    PhD Fenando Salazar

  4. Toward the development of an ML-driven decision support system for wastewater treatment: A bacterial inactivation prediction approach in solar photochemical processes

    Article • Journal of Environmental Management, January 2025, Elsevier

    PhD Fenando Salazar

  5. Corrigendum to “Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure” Eng Struct 260 (2022) 114190

    Article • Engineering Structures, January 2025, Elsevier

    PhD Fenando Salazar

  6. Hybrid physically based and machine learning model to enhance high streamflow prediction

    Article • Hydrological Sciences Journal, December 2024, Taylor & Francis

    PhD Fenando Salazar

  7. Predictive modeling of Enterococcus sp. removal with limited data from different advanced oxidation processes: A machine learning approach

    Article • Journal of Environmental Chemical Engineering, June 2024, Elsevier

    PhD Fenando Salazar

  8. ACROPOLIS: A graphical user interface for classification of risk for off-stream reservoirs using machine learning

    Article • SoftwareX, May 2024, Elsevier

    PhD Fenando Salazar

  9. Evaluation of different machine learning approaches for predicting high concentration episodes of ground-level ozone: A case study in Catalonia, Spain

    Article • Atmospheric Pollution Research, March 2024, Elsevier

    PhD Fenando Salazar

  10. SOLDIER: SOLution for Dam behavior Interpretation and safety Evaluation with boosted Regression trees

    Article • SoftwareX, February 2024, Elsevier

    PhD Fenando Salazar

  11. Avances en Iber para la clasificación de balsas: proyecto ACROPOLIS

    Article • Ingeniería del agua, January 2024, Universitat Politecnica de Valencia

    PhD Fenando Salazar

  12. Flood Maps Definition for Off-Stream Reservoir Failure: Deterministic Versus Probabilistic Approach

    Article • January 2024, Springer Science + Business Media

    PhD Fenando Salazar

  13. Implementation of Machine Learning Models for Predicting the Inactivation Performance of Escherichia Coli in Wastewater Through Varied Photo-Chemical Processes and Aqueous Matrix Combinations

    Article • January 2024, Springer Science + Business Media

    PhD Fenando Salazar

  14. Towards the Optimization of Advanced Oxidation Processes Using Machine Learning Modelling: The DIGIT4WATER Project

    Article • January 2024, Springer Science + Business Media

    PhD Fenando Salazar

  15. A Probabilistic Approach for Off-Stream Reservoir Failure Flood Hazard Assessment

    Article • Water, June 2023, MDPI AG

    Dr. Eduardo Martínez-Gomariz, PhD Fenando Salazar

  16. Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction

    Article • Water, May 2023, MDPI AG

    PhD Fenando Salazar

  17. Soft Computing and Machine Learning in Dam Engineering

    Article • Water, February 2023, MDPI AG

    PhD Fenando Salazar

  18. A methodology for calibrating parameters in discrete element models based on machine learning surrogates

    Article • Computational Particle Mechanics, January 2023, Springer Science + Business Media

    PhD Fenando Salazar

  19. ACROPOLIS: A Graphical User Interface for Classification of Risk for Off-Stream Reservoirs Using Machine Learning

    Article • January 2023, Elsevier

    PhD Fenando Salazar

  20. A Machine Learning-Based Surrogate Model for the Identification of Risk Zones Due to Off-Stream Reservoir Failure

    Article • Water, August 2022, MDPI AG

    PhD Fenando Salazar

  21. Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure

    Article • Engineering Structures, June 2022, Elsevier

    PhD Fenando Salazar

  22. Validation of Machine Learning Models for Structural Dam Behaviour Interpretation and Prediction

    Article • Water, October 2021, MDPI AG

    PhD Fenando Salazar

  23. Anomaly Detection in Dam Behaviour with Machine Learning Classification Models

    Article • Water, August 2021, MDPI AG

    PhD Fenando Salazar

  24. Identification of Dam Behavior by Means of Machine Learning Classification Models

    Article • October 2020, Springer Science + Business Media

    PhD Fenando Salazar

  25. Interpretation of Dam Monitoring Data Combining Visualisation Tools and Machine Learning. Eberlaste Dam Case Study

    Article • October 2020, Springer Science + Business Media

    PhD Fenando Salazar

  26. A Review on Thermo-mechanical Modelling of Arch Dams During Construction and Operation: Effect of the Reference Temperature on the Stress Field

    Article • Archives of Computational Methods in Engineering, June 2020, Springer Science + Business Media

    PhD Fenando Salazar

  27. Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems

    Article • Soft Computing, December 2019, Springer Science + Business Media

    PhD Fenando Salazar

  28. Shockwaves in spillways with the particle finite element method

    Article • Computational Particle Mechanics, June 2019, Springer Science + Business Media

    PhD Fenando Salazar

  29. A Performance Comparison of Machine Learning Algorithms for Arced Labyrinth Spillways

    Article • Water, March 2019, MDPI AG

    PhD Fenando Salazar

  30. Effect of the integration scheme on the rotation of non-spherical particles with the discrete element method

    Article • Computational Particle Mechanics, March 2019, Springer Science + Business Media

    PhD Fenando Salazar

  31. Discussion on “Thermal displacements of concrete dams: Accounting for water temperature in statistical models”

    Article • Engineering Structures, September 2018, Elsevier

    PhD Fenando Salazar

  32. A methodology for the design of dam spillways with wedge shaped blocks based on numerical modeling

    Article • Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, January 2018, Scipedia, S.L.

    PhD Fenando Salazar

  33. Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach

    Article • Scientific Reports, August 2017, Springer Science + Business Media

    PhD Fenando Salazar

  34. Numerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast

    Article • Computers and Geotechnics, May 2017, Elsevier

    PhD Fenando Salazar

  35. Early detection of anomalies in dam performance: A methodology based on boosted regression trees

    Article • Structural Control and Health Monitoring, April 2017, Wiley

    PhD Fenando Salazar

  36. An Interactive Tool for Automatic Predimensioning and Numerical Modeling of Arch Dams

    Article • Mathematical Problems in Engineering, January 2017, Hindawi Publishing Corporation

    PhD Fenando Salazar

  37. Modelación física y numérica de aliviaderos en laberinto con fondo poliédrico

    Article • Ingeniería del agua, July 2016, Universitat Politecnica de Valencia

    PhD Fenando Salazar

  38. Interpretation of dam deformation and leakage with boosted regression trees

    Article • Engineering Structures, July 2016, Elsevier

    PhD Fenando Salazar

  39. Air demand estimation in bottom outlets with the particle finite element method

    Article • Computational Particle Mechanics, June 2016, Springer Science + Business Media

    PhD Fenando Salazar

  40. Corrigendum to “An empirical comparison of machine learning techniques for dam behaviour modelling” [Struct. Saf. 56 (2015) 9–17]

    Article • Structural Safety, March 2016, Elsevier

    PhD Fenando Salazar

  41. Numerical modelling of landslide-generated waves with the particle finite element method (PFEM) and a non-Newtonian flow model

    Article • International Journal for Numerical and Analytical Methods in Geomechanics, September 2015, Wiley

    PhD Fenando Salazar

  42. An empirical comparison of machine learning techniques for dam behaviour modelling

    Article • Structural Safety, September 2015, Elsevier

    PhD Fenando Salazar

  43. Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations

    Article • Archives of Computational Methods in Engineering, July 2015, Springer Science + Business Media

    PhD Fenando Salazar

  44. Modelación del funcionamiento hidráulico de los dispositivos de aireación de desagües de fondo de presas mediante el método de partículas y elementos finitos

    Article • Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, January 2014, Scipedia, S.L.

    PhD Fenando Salazar

  45. Analysis of the discharge capacity of radial-gated spillways using CFD and ANN – Oliana Dam case study

    Article • Journal of Hydraulic Research, March 2013, Taylor & Francis

    PhD Fenando Salazar

  46. Modelación numérica de deslizamientos de ladera en embalses mediante el Método de Partículas y Elementos Finitos (PFEM)

    Article • Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, April 2012, Scipedia, S.L.

    PhD Fenando Salazar

  47. Possibilities of the particle finite element method for fluid–soil–structure interaction problems

    Article • Computational Mechanics, July 2011, Springer Science + Business Media

    PhD Fenando Salazar