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Academic Journal

A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials

Subjects: machine learning; cracking prediction; concrete

  • Source: EISSN: 2726-6141 ; Journal of Theoretical, Computational and Applied Mechanics ; https://hal.science/hal-03295926 ; Journal of Theoretical, Computational and Applied Mechanics, 2023, Volume XV,

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Academic Journal

Neutron spectrum unfolding using two architectures of convolutional neural networks

Subjects: Neutron spectrum unfolding; Machine learning; Convolutional neural networks

  • Source: ISSN: 1738-5733 ; Nuclear Engineering and Technology ; https://cnrs.hal.science/hal-04104489 ; Nuclear Engineering and Technology, 2023, 55 (6), pp.2276 - 2282. ⟨10.1016/j.net.2023.03.025⟩.

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Conference

Optimized reconstruction of the position of interaction in high-performances γ -cameras ; Reconstruction optimisée de la position d'interaction pour les γ-caméras haute-performances

Subjects: Gamma-camera; image reconstruction; machine learningTroyes; France

  • Source: Proceedings of the 9th conference on New Developments in Photodetection ; NDIP20 – Conference on New Developments in Photodetection ; https://hal.science/hal-04446415 ; NDIP20 – Conference on New

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Conference

Prediction of particulate and dissolved 137Cs concentrations in the Rhône River (France) using machine learning

Subjects: IA; neural network; random forestOslo; Norway

  • Source: 5th International Conference on Radioecology & Environmental Radioactivityhttps://irsn.hal.science/irsn-040659845th International Conference on Radioecology & Environmental Radioactivity,

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Conference

Méthodes de machine learning pour la prédiction de trajets de fissures dans les matériaux cimentaires sur la base de descripteurs morphologiques locaux

Subjects: microstructure mécanique; fissuration; descripteurs morphologiquesGiens; France

  • Source: 14e Colloque National en Calcul de Structures - CSMA 2019https://hal.science/hal-0245677714e Colloque National en Calcul de Structures - CSMA 2019, May 2019, Giens, France

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  • 1-10 of  21 results for ""machine learning""