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

1 336

Evolution of ressources

 

KEYWORDS

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