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