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