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