Juan Luis Ferrando Chacón

According to our database, Juan Luis Ferrando Chacón authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multivariate Adaptive Downsampling Algorithm for Industry 4.0 Visual Analytics.

Javier Franco, Ander García, Amaia Gil, Juan Luis Ferrando, Xabier Badiola, Mikel Sáez de Sáez de Buruaga

Cybern. Syst., August, 2024

IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI: A High Frequency Perspective.

Telmo Fernández de Barrena Sarasola, Ander García, Juan Luis Ferrando

Int. J. Cloud Appl. Comput., 2024

An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals.

Antonio Nappa, Juan Luis Ferrando Chacón, Izar Azpiroz, Pedro José Arrazola

Proceedings of the Engineering Applications of Neural Networks, 2024

2023

Containerized Edge Architecture for Centralized Industry 4.0 Fleet Management.

Ander García, Javier Tardos, Juan Luis Ferrando, Telmo Fernández de Barrena

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Edge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems.

Ander García, Telmo Fernández de Barrena, Juan Luis Ferrando Chacón, Xabier Oregui, Zelmar Etxegoien

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

5G and MEC Based Data Streaming Architecture for Industrial AI.

Telmo Fernández de Barrena Sarasola, Juan Luis Ferrando Chacón, Ander García, Michail Dalgitsis

Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2023

2021

A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals.

Juan Luis Ferrando Chacón, Telmo Fernández de Barrena, Ander García, Mikel Sáez de Sáez de Buruaga, Xabier Badiola, Javier Vicente

Sensors, 2021

Temperature-Effect Compensation for Leak Detectors by Using Machine Learning Techniques.

Juan Luis Ferrando Chacón, Ander García Gangoiti, Xabier Oregui Biain, Andoni Bilbao, Eneko Fernandez, Zelmar Etxegoien

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A Novel Methodology for the Characterization of Cutting Conditions in Turning Processes Using Machine Learning Models and Acoustic Emission Signals.

Telmo Fernández de Barrena, Juan Luis Ferrando, Ander García, Pedro José Arrazola, José Manuel Abete, Diego Herrero

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

2020

Soft Computing Analysis of Pressure Decay Leak Test Detection.

Ander García, Juan Luis Ferrando Chacón, Ander Arbelaiz, Xabier Oregui, Andoni Bilbao, Zelmar Etxegoien

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020