4 citations · 16 across the 14 of their papers we have counts for
14 papers
Quantum Fourier Transform Based Kernel for Solar Irrandiance Forecasting
Nawfel Mechiche-Alami, Eduardo Rodriguez, Jose M. Cardemil +1
This study proposes a Quantum Fourier Transform (QFT)-enhanced quantum kernel for short-term time-series forecasting. Each signal is windowed, amplitude-encoded, transformed by a Q…
Towards an efficient Iris Recognition System on Embedded Devices
Daniel P. Benalcazar, Juan E. Tapia, Mauricio Vasquez +3
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems. Today, it is challenging to build NIR-capturing devices under the premise of hardware pri…
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images
Juan Tapia, Daniel Benalcazar, Andres Valenzuela +3
This research proposes a new database and method to detect the reduction of alertness conditions due to alcohol, drug consumption and sleepiness deprivation from Near-Infra-Red (NI…
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network
Juan Tapia, Enrique Lopez Droguett, Christoph Busch
This research proposes a method to detect alcohol consumption from Near-Infra-Red (NIR) periocular eye images. The study focuses on determining the effect of external factors such…
Quantum Fault Trees
Gabriel San Martin Silva, Tarannom Parhizkar, Enrique Lopez Droguett
Fault tree analysis is a technique widely used in risk and reliability analysis of complex engineering systems given its deductive nature and relatively simple interpretation. In a…
A Novel Capsule Neural Network Based Model for Drowsiness Detection Using Electroencephalography Signals
Luis Guarda, Juan Tapia, Enrique Lopez Droguett +1
The early detection of drowsiness has become vital to ensure the correct and safe development of several industries' tasks. Due to the transient mental state of a human subject bet…
Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences
L. Causa, J. E. Tapia, E. Lopez-Droguett +3
This paper proposes a new method to estimate behavioural curves from a stream of Near-Infra-Red (NIR) iris video frames. This method can be used in a Fitness For Duty system (FFD).…
The Three F's for Bicategories I: Localization by Fractions is Exact
P. Bustillo Vazquez, D. Pronk, M. Szyld
We study the interaction between the notions of filteredness, fractions and fibrations in the theory of bicategories, generalizing classical results for categories. We give an expl…
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh +1
There has been a growing interest in deep learning-based prognostic and health management (PHM) for building end-to-end maintenance decision support systems, especially due to the…
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the…
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh
Considerable research has been devoted to deep learning-based predictive models for system prognostics and health management in the reliability and safety community. However, there…
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
Juan Tapia, Enrique Lopez Droguett, Andres Valenzuela +3
This paper proposes a new framework to detect, segment, and estimate the localization of the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. The purpose…
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis
Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres
Deep learning (DL) has become an essential tool in prognosis and health management (PHM), commonly used as a regression algorithm for the prognosis of a system's behavior. One part…
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics
David Verstraete, Enrique Droguett, Mohammad Modarres
Multi-sensor systems are proliferating the asset management industry and by proxy, the structural health management community. Asset managers are beginning to require a prognostics…