Jersson X. Leon-Medina
Orcid: 0000-0002-9198-1996
According to our database1,
Jersson X. Leon-Medina
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Intelligent condition monitoring of structures through data-driven process and machine learning methods
PhD thesis, 2024
Improving Wind Turbine Foundation Damage Detection: A Domain Adaptation Approach with Kernel Mean Matching Method.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
2023
New Electronic Tongue Sensor Array System for Accurate Liquor Beverage Classification.
Sensors, July, 2023
2022
Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall.
Sensors, 2022
Damage Classification Using Supervised Self-Organizing Maps in Structural Health Monitoring.
Sensors, 2022
Yogurt classification using an electronic tongue system and machine learning techniques.
Intell. Syst. Appl., 2022
Classification of As, Pb and Cd Heavy Metal Ions Using Square Wave Voltammetry, Dimensionality Reduction and Machine Learning.
IEEE Access, 2022
2021
Structural Damage Classification in a Jacket-Type Wind-Turbine Foundation Using Principal Component Analysis and Extreme Gradient Boosting.
Sensors, 2021
Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production.
Sensors, 2021
2020
Nonlinear Feature Extraction Through Manifold Learning in an Electronic Tongue Classification Task.
Sensors, 2020
Joint Distribution Adaptation for Drift Correction in Electronic Nose Type Sensor Arrays.
IEEE Access, 2020
Application of manifold learning algorithms to improve the classification performance of an electronic nose.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
A data-driven methodology for the classification of different liquids in artificial taste recognition applications with a pulse voltammetric electronic tongue.
Int. J. Distributed Sens. Networks, 2019