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