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