Raphaël Couturier
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View article: Temperature control of an SThM micro-probe with an heat source estimator and a lock-in measurement
Temperature control of an SThM micro-probe with an heat source estimator and a lock-in measurement Open
International audience
View article: Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks
Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks Open
The Manufacturing Message Specification (MMS) protocol is frequently used to automate processes in IEC 61850-based substations and smart-grid systems. However, it may be susceptible to a variety of cyber-attacks. A frequently used protecti…
View article: Bridging the Reality Gap in Industrial Synthetic Datasets with Aging Texture Simulation
Bridging the Reality Gap in Industrial Synthetic Datasets with Aging Texture Simulation Open
As industries increasingly rely on computer vision applications, the demand for robust object detection models grows. Synthetic datasets offer a promising solution by providing diverse and accurate data scenarios, enhancing the performance…
View article: Detecting Ghost Aircraft Flooding in the Surveillance of Low-Flying Civil and Military Aircraft
Detecting Ghost Aircraft Flooding in the Surveillance of Low-Flying Civil and Military Aircraft Open
International audience
View article: TSCAPE: time series clustering with curve analysis and projection on an Euclidean space
TSCAPE: time series clustering with curve analysis and projection on an Euclidean space Open
The ever-growing use of digital systems has led to the accumulation of vast datasets, particularly time series, depicting the temporal evolution of variables and systems. Analysing these time series presents a tremendous challenge due to t…
View article: Digital holographic microscopy applied to 3D computer micro-vision by using deep neural networks
Digital holographic microscopy applied to 3D computer micro-vision by using deep neural networks Open
Deep neural networks (DNNs) are increasingly employed across diverse fields of applied science, particularly in areas like computer vision and image processing, where they enhance the performance of instruments. Various advanced coherent i…
View article: [Poster] ADS-B anomaly detection in the surveillance of low-altitude aircrafts
[Poster] ADS-B anomaly detection in the surveillance of low-altitude aircrafts Open
In the past few years, the fast increase in air traffic load has brought new challenges for air traffic controllers. The air surveillance task has become harder and as a consequence, the actual monitoring tools need to be improved. In this…
View article: Automatic classification of patients with myocardial infarction or myocarditis based only on clinical data: A quick response
Automatic classification of patients with myocardial infarction or myocarditis based only on clinical data: A quick response Open
Background In acute cardiovascular disease management, the delay between the admission in a hospital emergency department and the assessment of the disease from a Delayed Enhancement cardiac MRI (DE-MRI) scan is one of the barriers for an …
View article: Characterization of a Driven Two-Level Quantum System by Supervised Learning
Characterization of a Driven Two-Level Quantum System by Supervised Learning Open
We investigate the extent to which a two-level quantum system subjected to an external time-dependent drive can be characterized by supervised learning. We apply this approach to the case of bang-bang control and the estimation of the offs…
View article: Digital holographic microscopy applied to 3D computer microvision by using deep neural networks
Digital holographic microscopy applied to 3D computer microvision by using deep neural networks Open
Deep neural networks are increasingly applied in many branches of applied science such as computer vision and image processing by increasing performances of instruments. Different deep architectures such as convolutional neural networks or…
View article: Characterization of a Driven Two-level Quantum System by Supervised Learning
Characterization of a Driven Two-level Quantum System by Supervised Learning Open
We investigate the extent to which a two-level quantum system subjected to an external time-dependent drive can be characterized by supervised learning. We apply this approach to the case of bang-bang control and the estimation of the offs…
View article: Applications of artificial intelligence for nursing: has a new era arrived?
Applications of artificial intelligence for nursing: has a new era arrived? Open
sponsorship: This work was supported by the Research Foundation Flanders (grant number 1159522N to L.V.B.) and the European Society of Cardiology (Nursing and Allied Professional Training Grant to L.V.B.). (Research Foundation Flanders|115…
View article: DaTOS: Data Transmission Optimization Scheme in Tactile Internet-based Fog Computing Applications
DaTOS: Data Transmission Optimization Scheme in Tactile Internet-based Fog Computing Applications Open
International audience
View article: Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks
Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks Open
Summary In the modern world, it will be necessary to deploy a large number of sensor devices to sense everything around us in order to detect changes, risks, and hazards and to mitigate them. This increasing number of sensor devices repres…
View article: Fast autofocusing using tiny transformer networks for digital holographic microscopy
Fast autofocusing using tiny transformer networks for digital holographic microscopy Open
The numerical wavefront backpropagation principle of digital holography confers unique extended focus capabilities, without mechanical displacements along z-axis. However, the determination of the correct focusing distance is a non-trivial…
View article: Brick Orientation Adjustment in the Automotive Industry using Image Processing Techniques
Brick Orientation Adjustment in the Automotive Industry using Image Processing Techniques Open
International audience
View article: Convolutional Neural Network (CNN) vs Vision Transformer (ViT) for Digital Holography
Convolutional Neural Network (CNN) vs Vision Transformer (ViT) for Digital Holography Open
International audience
View article: Supervised ADS-B Anomaly Detection Using A False Data Generator
Supervised ADS-B Anomaly Detection Using A False Data Generator Open
International audience
View article: A comparative study of predictive models for pharmaceutical sales data
A comparative study of predictive models for pharmaceutical sales data Open
International audience