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Groupe Signal Image et Instrumentation
L’équipe s’intéresse aux domaines du traitement du signal et de l’image et de l’intelligence artificielle pour la mesure, l’instrumentation et le développement de capteurs, pour des applications en géophysique, en CND, SHM et biomédical.
L'équipe est rattachée au LAUM, Laboratoire d’Acoustique – Le Mans Université – CNRS – UMR6613.
Thématique de recherche : Contrôle Non-Destructif et «Structural Health Monitoring» ; Instrumentation biomédicale ; Capteurs optiques pour la mesure mécanique
Mots clés
Acoustic emission testing
CR radiodetection
Adaptive boosting
Spectrogram
Calf pain
Methods
Apprentissage automatique
Commande optimale
Behaviour and movement
Genetic algorithm
Analyse du signal
CODALEMA
Dairy cows
Thoracic outlet syndrome
Exercise testing
Artificial Neural Networks
Biomedical engineering
Composites materials
Chan-Vese
Gradient descent algorithm
9585Ry
Ultrasound
Bruit de respiration
Coda Wave Interferometry
Palindrome
Exercise oximetry
Algorithme d'apprentissage
Cascade de classifieurs
Bias control
Concrete
Cow location
Diagnosis
Codalema
Accelerometry
Atrial fibrillation
Automatic sleep staging for polysomnography
Cardiovascular risk
And stroke Obstructive sleep apnoea
Behaviour classification
Contrôle non-destructif
Symmetry
Vache laitière
Beamforming
Cardiovascular disease
Claudication
Accelerometer
Symmetropy
Complexity
Machine learning
Artery
Symptoms
Acoustic Emission
Transcutaneous oximetry
Transcutaneous oxygen pressure
Symmentropy
9640-z
Machine Learning
Obstructive sleep apnea
Binary sequence
Agriculture
Cluster Validity Index
Agro-ecology
Entropy
Clustering
Peripheral artery disease
Sleep apnea
Nonlinear
Ankle brachial pressure index
Pulse rate variability
Classification
Signal processing
Optimal command
Cluster analysis
Microembolus detection
Accelerométrie
Animal–environment interaction
Nonlinearity
Algorithmes génétiques
Bidirectional arte- facts
Acoustoelasticity
Pathophysiology
Nonlinear Wave Modulation Spectroscopy
Arterial inflow
Acoustic particle velocity
Artefact rejection
Transcranial Doppler ultrasound
Radio detection
Automatic scoring algorithm
Artificial Neural Networks ANNs
Damage detection
Palindromic vectors
Intermittent claudication
Optimization
Nondestructive testing
Comportement animal
Descriptor
Microembolus
Structural health monitoring
Ischemia
9555Jz
Les collaborations
Dernières publications
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Elsa Breton, Nicolas Savoye, Peggy Rimmelin-Maury, Benoit Sautour, Eric Goberville, et al.. Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT. Frontiers in Marine Science, 2023, 10, pp.12. ⟨10.3389/fmars.2023.1135446⟩. ⟨hal-04083118⟩