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Artículo
Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
(Elsevier, 2021)
Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. Consequently, fault detection approaches based on classical supervised learning working with both normal and abnormal data ...
Artículo
Real-time gun detection in CCTV: An open problem
(Elsevier, 2020-12)
Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object detection is still a problem that has not yet a definitive solution. The autonomous weapons detection ...
Artículo
Una metodología desde la teoría de redes para las redes culturales
(Pontificia Universidad Javeriana, 2020)
Este documento presenta, desde un punto de vista introductorio y orientado a no expertos en teoría de redes, los fundamentos de grafos y redes que permiten proyectar información sobre redes culturales en un contexto formal. ...
Artículo
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification
(Elsevier, 2020)
Modelling complex processes from raw time series increases the necessity to build DeepLearning (DL) architectures that can manage this type of data structure. However, as DLmodels become deeper, larger and more diverse ...
Artículo
Hybrid agent-based methodology for testing response protocols
(Elsevier, 2021)
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible ...
Artículo
From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine
(Elsevier, 2021)
The lack of faulty condition data reduces the feasibility of supervised learning for fault detection or fault severity discrimination in new manufacturing technologies. To deal with this issue, one-class learning arises ...
Artículo
One-shot fault diagnosis of 3D printers through improved feature space learning
(IEEE Computer Society, 2020)
Signal acquisition from mechanical systems working in faulty conditions is normally expensive. As a consequence, supervised learning-based approaches are hardly applicable. To address this problem, a one-shot learning-based ...