Publikationen, an denen er mitarbeitet Daniel Carreres Prieto (17)

2024

  1. Emerging Organic Pollutant Detection, Classification, and Quantification Using a LED Spectrofluorimeter and Decision Trees

    ACS ES and T Water, Vol. 4, Núm. 10, pp. 4312-4322

  2. Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods

    Environmental Science and Pollution Research, Vol. 31, Núm. 42, pp. 54481-54501

2023

  1. A Comparative analysis of neural networks and genetic algorithms to characterize wastewater from led spectrophotometry

    Journal of Environmental Chemical Engineering, Vol. 11, Núm. 3

  2. CoUDlabs_WP8_T811_UDC_002 Application of imaging velocimetry techniques for urban drainage applications

    Zenodo

  3. CoUDlabs_WP8_T811_UDC_002 Application of imaging velocimetry techniques for urban drainage applications

    Zenodo

  4. Optimization of indirect wastewater characterization: a hybrid approach based on decision trees, genetic algorithms and spectroscopy

    Environmental Science: Water Research & Technology

  5. Towards highly economical and accurate wastewater sensors by reduced parts of the LED-visible spectrum

    Science of the Total Environment, Vol. 871

2022

  1. EQUIPMENT FOR THE ESTIMATION OF THE POLLUTION LOAD OF SEWAGE SYSTEMS FROM SPECTROPHOTOMETRIC ANALYSIS

    Proceedings of the IAHR World Congress

  2. Evaluation of genetic models for COD and TSS estimation in wastewater through its spectrophotometric response

    Water science and technology : a journal of the International Association on Water Pollution Research, Vol. 85, Núm. 9, pp. 2565-2580

  3. Implementing Early Warning Systems in WWTP. An investigation with cost-effective LED-VIS spectroscopy-based genetic algorithms

    Chemosphere, Vol. 293

  4. Regresión lineal multivariable versus regresión simbólica a partir de programación genética. Aplicación a la caracterización espectroscópica de aguas residuales urbanas

    Ingeniería del agua, Vol. 26, Núm. 4, pp. 261-277

2021

  1. Contribución al campo del IoT mediante el desarrollo de sensores inteligentes basados en espectrofotometría de longitud de onda variable: aplicación a la monitorización en continuo de la carga contaminante en aguas residuales urbanas

    Contribución al campo del IoT mediante el desarrollo de sensores inteligentes basados en espectrofotometría de longitud de onda variable: aplicación a la monitorización en continuo de la carga contaminante en aguas residuales urbanas

2020

  1. Performing calibration of transmittance by single rgb-led within the visible spectrum

    Sensors (Switzerland), Vol. 20, Núm. 12, pp. 1-26

  2. Wastewater quality estimation through led spectrophotometry by means os statistical models

    Proceedings of the 1st IAHR Young Professionals Congress: Online, 17 y 18 de noviembre de 2020

  3. Wastewater quality estimation through spectrophotometry-based statistical models

    Sensors (Switzerland), Vol. 20, Núm. 19, pp. 1-29

2019

  1. Spectroscopy transmittance by LED calibration

    Sensors (Switzerland), Vol. 19, Núm. 13

2016

  1. Diseño e implementación de un sistema de control automático programable para aplicaciones de telemetría, telecontrol y posicionamiento vía satélite

    Anuario de Jóvenes Investigadores, Vol. 9, pp. 200-203