Multilayer Perceptron Applied to the IOT Systems for Identification of Saline Wedge in the Magdalena Estuary-Colombia

PP Ariza-Colpas, CE Ayala-Mantilla… - … Information Systems …, 2021 - Springer
… Considering the high importance of this river, it constitutes a driver of different factors …
detection process of the saline wedge in the Magdalena River estuary, using the Multilayer

Multilayer Perceptron Applied to the IOT Systems for Identification of Saline Wedge in the Magdalena Estuary-Colombia

C Collazos-Morales - … Systems and Industrial Management: 20th …, 2021 - books.google.com
… Considering the high importance of this river, it constitutes a driver of different factors …
detection process of the saline wedge in the Magdalena River estuary, using the Multilayer

[PDF][PDF] Multilayer Perceptron applied to the IOT systems for identification of saline wedge in the Magdalena estuary-Colombia.

VD Marlon-Alberto, MO Diego, DH Roberto Cesar… - researchgate.net
… Considering the high importance of this river, it constitutes a driver of different factors …
detection process of the saline wedge in the Magdalena River estuary, using the Multilayer

[HTML][HTML] Enhancing estuary salinity prediction: A Machine Learning and Deep Learning based approach

L Saccotelli, G Verri, A De Lorenzis, C Cherubini… - Applied Computing and …, 2024 - Elsevier
It increases the salt content in waters and expands the salt … the extent and patterns of salt
wedge intrusion. To address this … We thus identified the hyperparameter settings that produced …

Optimizing laboratory investigations of saline intrusion by incorporating machine learning techniques

G Etsias, GA Hamill, EM Benner, JF Águila… - Water, 2020 - mdpi.com
… , which constitutes their successful identification critical in the … the wedge shaped and saline
plume intrusion data. This demonstrates the method’s resilience, indicating it can be applied

[PDF][PDF] Applied Computing and Geosciences

L Saccotelli, G Verri, A De Lorenzis, C Cherubini… - iris.cnr.it
… be easily applied across diverse estuaries for accurately estimating the extent and patterns
of salt wedge … We thus identified the hyperparameter settings that produced the best model …

Development and implementation of support vector machine regression surrogate models for predicting groundwater pumping-induced saltwater intrusion into coastal …

A Lal, B Datta - Water Resources Management, 2018 - Springer
… of pumping rates on salt concentrations at monitoring locations. … (referred to as the saltwater
wedge) in coastal zones to avoid … models, and the identification of the significant variables …

Prediction of sodium adsorption ratio and chloride concentration in a coastal aquifer under seawater intrusion using machine learning models

A El Bilali, A Taleb, A Nafii, B Alabjah… - … Technology & Innovation, 2021 - Elsevier
… of the saltwater penetration with wedge up to 2 Km toward … For the ANN, we used, in this
study, the multilayer perceptron … new strategies to manage the saline water with high chloride …

… of well logging data combining unsupervised and deep learning algorithms for enhanced characterization of the Quaternary aquifer system in Debrecen area …

MAA Mohammed, NP Szabó, P Szűcs - Modeling Earth Systems and …, 2024 - Springer
… In this study, the MFV-CA is used for the delineation of … to correctly identify positive instances
among all instances it predicted … In this study, the elbow method identified three clusters as …

Machine Learning Models for Monitoring Salinity in River Estuaries: A Case Study of the Po River

L Saccotelli, G Verri, A De Lorenzis… - … on Metrology for the …, 2024 - ieeexplore.ieee.org
… tools to accurately estimate saltwedge intrusion patterns. Thus, … It works by finding the
hyperplane that best fits the data points in … He, “An integrated framework of input determination for …