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