Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis”

International audienceFault diagnosis and failure prognosis aim to reduce downtime of the systems and to optimise their performance by replacing preventive and corrective maintenance strategies with predictive or conditional ones [...

Etude des capteurs polymères sur support souple (détection des gaz, de la lumière et de la température)

AIX-MARSEILLE3-BU Sc.St Jérô (130552102) / SudocSudocFranceF

A dynamic response model for the WO3-based ozone sensors

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Ozone Sensor on Flexible Substrate by ZnO nanoparticles

International audienceIn this work the ozone detection in flexible substrate has been investigated. The flexible test platform with an integrated heater was designed and then characterized by thermal simulations using finite elements and its electrical properties have been studied. ZnO nanoparticles were deposited by drop coating process on the flexible substrate with platinum interdigited electrodes for gas detection. The gas sensing properties were determined by ozone exposure at different concentrations and temperatures. The gas sensing measurements present good response at different gas concentrations, good repeatability and fast recovery

Inkjet printed sensors (temperature and pressure) on flexible substrate for medical applications

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Inkjet printed sensors (temperature and pressure) on flexible substrate for medical applications

International audienc

Inkjet-printed sensors (temperature and pressure) on flexible substrate for medical applications

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ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis*

This study proposes an enhancement to the ConText-GAN, an image synthesis model using a controllable texture input. The improvement consists in using a texture feature fusion module to reduce the complexity of the model, and enable the use of the OASIS architecture for image generation.Clinical relevance— The ConText-GAN can be used to generate images of fake patients, which are useful in the medical field due to the scarcity of data. An example is given of the generation of images showing pathological muscle tissue in the context of neuromuscular diseases

Inkjet-Printed ON/OFF Force Sensor on Flexible Substrate for Ultra-Low Power Applications

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