Loading...
Le Laboratoire d'Intégration des Systèmes et des Technologies (LIST) focalise ses recherches sur les systèmes numériques intelligents. Ses programmes de R&D sont centrés sur l’intelligence artificielle, l’usine du futur, l’instrumentation innovante, les systèmes cyberphysiques et la santé numérique. Cliquez sur le nom du département pour sélectionner ses publications
Depots recents
Pour toute question : hal@cea.fr |
Recherche
Nombre de notices
Nombre de textes intégraux
Indicateur d'Open Access
Evolution des ressources
mots-clefs
Safety
Optimization
Instrumentation
Fault detection
Classification
Radionuclide metrology
Beta spectrum
Formal methods
Tomography
Metrology
Clustering
Alpha-rays
Modeling
Particle transport
Dosimetry
Chemical Vapor Deposition CVD
Defect
Gamma imaging
Fiber Bragg Grating
Design
UML
Beta-rays
Eddy current testing
Detector
Neural network
Decay data measurement
Ionizing radiation
Phantom
Reflectometry
C programming language
Statistical analysis
Medical imaging
Computer architecture
Gamma-rays
Data processing
Nanodiamond
Modelling
Standardization
Security
Spectrometry
Simulation
Distributed and Quasi-distributed sensing
Structural health monitoring
Thin film
Monte Carlo simulation
Laser
Nuclear instrumentation
Radioactivity
Neutrons
Spectrum analysis
Monitoring
Image processing
Calibration
Sparse coding
Ultrasound
Machine learning
Distributed learning
Semantics
Artificial intelligence
Decay data evaluation
Robotics
Primary activity measurement
Sensor
Calorimeter
Embedded systems
Performance
Reliability
Neural networks
Signal processing
Metabolomics
Fuzzy logic
Photons
Static analysis
Nondestructive examination
Diamond
Plastic scintillator
Computational linguistics
Non-destructive testing
Ionization chamber
Transferometry
Cable
Radiotherapy
Electronic architecture
Algorithms
Non destructive testing
Linac
Cancer
Online learning
PENELOPE
X-rays
Diagnosis
Dose measurement
Irradiation
Optical Fiber Sensor
Neutron-gamma discrimination
Metallic magnetic calorimeter
Fluorescence
Deep learning
Monte Carlo
Gamma spectrometry