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