Fernando Arévalo

According to our database, Fernando Arévalo authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification.

Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

IEEE Access, 2024

An IoT-Based System for Water Parameters Monitoring. Case Study: Fish Farming in El Salvador.

Omar Otoniel Flores-Cortez, Jose Mauricio Castro Elizondo, Ana Cecilia Flores Portillo, Fernando Arévalo, Carlos Osmin Pocasangre

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

IoT for CO2 Surveillance in Volcanic Soil Using a Web-Based Monitoring and the LI-830 sensor. Study case in Cerro Pacho, El Salvador.

Omar Otoniel Flores-Cortez, Carlos Osmin Pocasangre, Fernando Arévalo, David Adriel Solis, Jefry Orlando Comayagua, Benancio Henríquez Miranda

Proceedings of the International Symposium on Networks, Computers and Communications, 2024

2023

Information Fusion for Assistance Systems in Production Assessment.

Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

CoRR, 2023

Anomaly Detection Using Ensemble Classification and Evidence Theory.

Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung

IEEE Access, 2023

A Low-cost IoT Mobile System for Air Quality Monitoring in Developing Countries, a Study Case in El Salvador.

Omar Otoniel Flores-Cortez, Carlos Pocasangre Jimenez, Fernando Arévalo, Ricardo León López, David Peña Martínez, Oscar Perez Rafael

Proceedings of the International Conference on Smart Applications, 2023

An IoT Mobile System for CO2 Monitoring in Volcanic Soil using the LI-830 Sensor and an Android App.

Carlos Osmin Pocasangre, Omar Otoniel Flores-Cortez, Fernando Arévalo, Carlos Arriaza, Omar Aguilar, Benancio Henríquez Miranda

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

2022

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory.

Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

IEEE Access, 2022

2021

Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application.

Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung

Proceedings of the 2nd International Conference on Societal Automation, 2021

Knowledge Internalization using Virtual Training on the HoloLens.

Fernando Arévalo N., Christian Alison M. Piolo, Joachim Arens, Andreas Schwung, Matthias Hermes

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

2020

Interactive Visual Procedure using an extended FMEA and Mixed-Reality.

Fernando Arévalo, Dimitri Sunaringtyas, Cristhian Tito, Christian Piolo, Andreas Schwung

Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

2019

Fault Detection Assessment using an extended FMEA and a Rule-based Expert System.

Fernando Arévalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

Development of a Mobile App for Fault Detection Assessment based on Information Fusion.

Fernando Arévalo, Enzo Oestanto, Andreas Schwung

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

A Cloud-based Architecture for Condition Monitoring based on Machine Learning.

Fernando Arévalo, Mochammad Rizky Diprasetya, Andreas Schwung

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Fault Detection Assessment Architectures based on Classification Methods and Information Fusion.

Fernando Arévalo, Juan Rernenteria, Andreas Schwung

Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

2017

Assistance system for a bulk good system based on information fusion.

Fernando Arévalo, Tin Nguyen, Andreas Schwung

Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017