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ORCIDFernando Arévalo
Person information
- affiliation: South Westphalia University of Applied Sciences, Department of Automation Technology, Soest, Germany
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2020 – today
- 2024
[j3]Fernando Arévalo
, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification. IEEE Access 12: 2236-2259 (2024)- [c11]Omar Otoniel Flores-Cortez, Jose Mauricio Castro Elizondo, Ana Cecilia Flores Portillo, Fernando Arévalo, Carlos Osmin Pocasangre:
An IoT-Based System for Water Parameters Monitoring. Case Study: Fish Farming in El Salvador. MetroInd4.0 & IoT 2024: 123-128 - 2023
- [j2]Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection Using Ensemble Classification and Evidence Theory. IEEE Access 11: 53545-53587 (2023) - [c10]Carlos Osmin Pocasangre, Omar Otoniel Flores-Cortez, Fernando Arévalo, Carlos Arriaza, Omar Aguilar, Benancio Henríquez Miranda:
An IoT Mobile System for CO2 Monitoring in Volcanic Soil using the LI-830 Sensor and an Android App. ICNSC 2023: 1-6 - [c9]Omar Otoniel Flores-Cortez, Carlos Pocasangre Jimenez, Fernando Arévalo, Ricardo León López, David Peña Martínez, Oscar Perez Rafael:
A Low-cost IoT Mobile System for Air Quality Monitoring in Developing Countries, a Study Case in El Salvador. SmartNets 2023: 1-8 - [i3]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Information Fusion for Assistance Systems in Production Assessment. CoRR abs/2309.00157 (2023) - 2022
- [j1]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment Using a Knowledge Transfer Framework and Evidence Theory. IEEE Access 10: 89134-89152 (2022) - [i2]Fernando Arévalo N., Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment using a Knowledge Transfer Framework and Evidence Theory. CoRR abs/2207.03611 (2022) - [i1]Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection using Ensemble Classification and Evidence Theory. CoRR abs/2212.12092 (2022) - 2021
- [c8]Fernando Arévalo N., Christian Alison M. Piolo, Joachim Arens, Andreas Schwung, Matthias Hermes:
Knowledge Internalization using Virtual Training on the HoloLens. ICIT 2021: 1113-1118 - [c7]Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung:
Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application. SA 2021: 1-6 - 2020
- [c6]Fernando Arévalo, Dimitri Sunaringtyas, Cristhian Tito, Christian Piolo, Andreas Schwung:
Interactive Visual Procedure using an extended FMEA and Mixed-Reality. ICIT 2020: 286-291
2010 – 2019
- 2019
- [c5]Fernando Arévalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung:
Fault Detection Assessment using an extended FMEA and a Rule-based Expert System. INDIN 2019: 740-745 - 2018
- [c4]Fernando Arévalo, Juan Rernenteria, Andreas Schwung:
Fault Detection Assessment Architectures based on Classification Methods and Information Fusion. ETFA 2018: 1343-1350 - [c3]Fernando Arévalo, Mochammad Rizky Diprasetya, Andreas Schwung:
A Cloud-based Architecture for Condition Monitoring based on Machine Learning. INDIN 2018: 163-168 - [c2]Fernando Arévalo, Enzo Oestanto, Andreas Schwung:
Development of a Mobile App for Fault Detection Assessment based on Information Fusion. INDIN 2018: 635-640 - 2017
- [c1]Fernando Arévalo, Tin Nguyen, Andreas Schwung:
Assistance system for a bulk good system based on information fusion. ETFA 2017: 1-8
Coauthor Index
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