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Diego Nieves Avendano
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Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications
P Moens, V Bracke, C Soete, S Vanden Hautte, D Nieves Avendano, ...
Sensors 20 (15), 4308, 2020
512020
Implications of z-normalization in the matrix profile
D De Paepe, D Nieves Avendano, S Van Hoecke
International Conference on Pattern Recognition Applications and Methods, 95-118, 2019
242019
A semi-supervised approach with monotonic constraints for improved remaining useful life estimation
D Nieves Avendano, N Vandermoortele, C Soete, P Moens, ...
Sensors 22 (4), 1590, 2022
182022
A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests
J Jonkers, D Nieves Avendano, G Van Wallendael, S Van Hoecke
Applied Energy 361, 122900, 2024
152024
Data-driven optimization of energy efficiency and comfort in an apartment
D Nieves Avendano, J Ruyssinck, S Vandekerckhove, S Van Hoecke, ...
2018 international conference on intelligent systems (is), 174-182, 2018
142018
Anomaly detection and event mining in cold forming manufacturing processes
D Nieves Avendano, D Caljouw, D Deschrijver, S Van Hoecke
The International Journal of Advanced Manufacturing Technology 115, 837-852, 2021
122021
Transfer Learning for Anomaly Detection Using Bearings’ Vibration Signals
D Nieves Avendano, D Deschrijver, S Van Hoecke
International Journal of Acoustics & Vibration 28 (4), 2023
12023
Architecture for Predictive Maintenance Based on Integrated Models, Methods and Technologies
A Werner, R Mendez-Rial, P Salvo, V Charisi, J Piccini, A Mousavi, ...
Intelligent and Transformative Production in Pandemic Times: Proceedings of …, 2023
12023
Unsupervised Transfer Learning Across Different Data Modalities for Bearing’s Speed Identification
D Nieves Avendano, D Deschrijver, S Van Hoecke
International Journal of Acoustics & Vibration 29 (2), 2024
2024
Towards machine learning-based predictive maintenance in industry using vibration and acoustic data
D Nieves Avendano
Ghent University, 2022
2022
Using machine-learning to improve endometrial cancer diagnosis
D Nieves Avendaņo
KU Leuven, 2017
2017
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Articles 1–11