Publications associées à Détecteur d'anomalie magnétique

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

Anomaly Detection systems based on Machine and Deep learning are the most promising solutions to detect cyberattacks in the industry. However, these techniques are vulnerable to adversarial attacks that downgrade prediction performance. Several techniques ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Olga Fink, Ismail Nejjar, Gaëtan Michel Frusque

Detecting anomalies in sound data has recently received significant attention due to the increasing number of implementations of sound condition monitoring solutions for critical assets. In this context, changing operating conditions impose significant dom ...

2022

Source Reconstruction Method Using Phase-Less Magnetic Near-Field Measurements: Application of the Method of Moment with Roof-Top Basis Functions

Marcos Rubinstein, Hamidreza Karami

Source reconstruction methods have many applications such as antenna diagnosis, calculating far-field radiated emissions, and identifying incompatible sources on integrated circuits or printed circuit boards. In this paper, the Gerchberg-Saxton algorithm i ...

IEEE2022

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

Jan Sickmann Hesthaven, Caterina Bigoni

We propose a simulation-based decision strategy for the proactive maintenance of complex structures with a particular application to structural health monitoring (SHM). The strategy is based on a data-driven approach which exploits an offline-online decomp ...

2020

Melting of a skyrmion lattice to a skyrmion liquid via a hexatic phase

Henrik Moodysson Rønnow, Arnaud Magrez, Marco Cantoni, Fabrizio Carbone, Ping Huang, Thomas Schönenberger

While in 3D materials melting is a single, first-order phase transition, in 2D systems, it can also proceed via an intermediate phase. For a skyrmion lattice in Cu2OSeO3, magnetic field variations can tune this quasiparticle 2D solid into a skyrmion liquid ...

NATURE PUBLISHING GROUP2020

Neutron noise experiments in the AKR-2 and CROCUS reactors for the European project CORTEX

Andreas Pautz, Vincent Pierre Lamirand, Mathieu Hursin, Carlo Fiorina, Oskari Ville Pakari, Pavel Frajtag, Daniel Godat, Axel Guy Marie Laureau, Adolfo Rais

The present article gives an overview of the first experimental campaigns carried out in the AKR-2 and CROCUS reactors within the framework of the Horizon 2020 European project CORTEX. CORTEX aims at developing innovative core monitoring techniques that al ...

E D P SCIENCES2020

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

Thành Tâm Nguyên

Social platforms became a major source of rumours. While rumours can have severe real-world implications, their detection is notoriously hard: Content on social platforms is short and lacks semantics; it spreads quickly through a dynamically evolving netwo ...

ASSOC COMPUTING MACHINERY2019

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

Jan Sickmann Hesthaven, Caterina Bigoni

MATHICSE2019

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Détecteur d'anomalie magnétique

Detecting Anomalies and Obstacles in Road Scenes

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Source Reconstruction Method Using Phase-Less Magnetic Near-Field Measurements: Application of the Method of Moment with Roof-Top Basis Functions

Electron Spin Resonance Magnetometers for Particle Accelerators

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

Melting of a skyrmion lattice to a skyrmion liquid via a hexatic phase

Neutron noise experiments in the AKR-2 and CROCUS reactors for the European project CORTEX

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

Graph Chatbot

Chattez avec Graph Search

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

Source Reconstruction Method Using Phase-Less Magnetic Near-Field Measurements: Application of the Method of Moment with Roof-Top Basis Functions

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

Detecting Anomalies and Obstacles in Road Scenes

Electron Spin Resonance Magnetometers for Particle Accelerators

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

Melting of a skyrmion lattice to a skyrmion liquid via a hexatic phase

Neutron noise experiments in the AKR-2 and CROCUS reactors for the European project CORTEX