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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
Gradient descent algorithm
Diagnosis
Acoustic Emission
Artificial Neural Networks ANNs
Acoustoelasticity
Vache laitière
Automatic scoring algorithm
Ultrasound
9555Jz
Sleep apnea
Nonlinear Wave Modulation Spectroscopy
Cramer Rao Bounds
Automatic sleep staging for polysomnography
Clustering
Composites materials
Accelerometry
Nonlinearity
Comportement animal
Thoracic outlet syndrome
Optimal command
Intermittent claudication
Apprentissage automatique
Bias control
Behaviour and movement
And stroke Obstructive sleep apnoea
Claudication
Nondestructive testing
Symmentropy
CR radiodetection
Spectrogram
9585Ry
Algorithme d'apprentissage
Cascade de classifieurs
Bidirectional arte- facts
Accelerométrie
Acoustic emission testing
Symmetropy
Obstructive sleep apnea
Crack signature enhancement
Binary sequence
Structural health monitoring
Cardiovascular risk
Transcranial Doppler ultrasound
Transcutaneous oximetry
Microembolus
Beamforming
Palindromic vectors
Pulse rate variability
Acoustic particle velocity
Machine learning
Artificial Neural Networks
Machine Learning
Classification
Cluster Validity Index
Peripheral artery disease
Behaviour classification
Arterial inflow
Microembolus detection
Chan-Vese
Contrôle non-destructif
Pathophysiology
Crack detection
Artificial neural network
Nonlinear
Exercise oximetry
Cow location
Bruit de respiration
Damage detection
Adaptive boosting
Ischemia
Animal–environment interaction
Transcutaneous oxygen pressure
Complexity
Genetic algorithm
Palindrome
Atrial fibrillation
Coda Wave Interferometry
Artery
Methods
Codalema
Optimization
Symmetry
Symptoms
Principal component analysis
Cluster analysis
Ankle brachial pressure index
Dairy cows
Cardiovascular disease
Artefact rejection
Descriptor
9640-z
Exercise testing
Accelerometer
Agro-ecology
Analyse du signal
Concrete
Calf pain
Agriculture
Entropy
Algorithmes génétiques
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⟩