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