The List institute is committed to technological innovation in digital systems.
Its R&D activities encompass four main themes: factory of the future, cyber-physical systems, artificial intelligence and digital health.


HAL-LIST is an open archive where you can consult all LIST scientific publications deposited on HAL.

Click on the department name to consult its publications

 

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NUMBER OF BIBLIOGRAPHIC RECORDS

1 847

NUMBER OF FULLTEXT

1 265

Evolution of ressources

 

KEYWORDS

Actuators Codes symbols Calibration Specification languages Internet of things Reflectometers Mapping Nanodiamond Monitoring Semantics Instrumentation UML Reliability Dosimetry Cryptography Algorithms Nanoparticles Monte Carlo methods Simulation Model-driven Engineering Geometry Nondestructive examination Diamond Identification Monte Carlo simulation Fluorescence Data processing Guided electromagnetic wave propagation State of the art Reflection Security Modeling Reflectometry Gamma-ray spectrometry Metrology Embedded systems Finite element method Uncertainty Static analysis Robots STABILITY Radionuclide metrology Optical fibers Monte Carlo simulations C programming language Hardware Radiation therapy Detectors Energy efficiency Model checking Diffraction Radiotherapy Time domain analysis MDE Computer vision Scheduling Machine learning Verification Computer software Virtual reality Nuclear Complex networks Ferromagnetic materials Ultrasonic testing Image retrieval Design Solid scintillation detectors Defects Eddy current testing Deductive verification Cameras Classification Software testing Nuclear instrumentation Fault detection Structural health monitoring Computational linguistics Non-destructive testing Benchmarking Frama-C Neutrons Symbolic execution Computer architecture Signal processing Non destructive testing Robotics Software engineering Haptic interfaces Sensors Elastic waves Fiber Bragg gratings Image processing SLAM Simultaneous Localisation and Mapping Artificial intelligence Gamma rays Neural networks Neutron detection Optimization Learning systems Gadolinium