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