Source: ISSN: 0009-2541 ; Chemical Geology ; https://hal.univ-lille.fr/hal-02090098 ; Chemical Geology, 2019, Chemical Geology, 514, p.27-41. ⟨10.1016/j.chemgeo.2019.03.025⟩.

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Conference

Kinetic parameters of the GUINEVERE reference configuration in VENUS-F reactor obtained from a pile noise experiment using Rossi and Feynman methods

Authors : Geslot, B.; Mellier, F.; Pepino, A. ...

Subjects: generation time; delayed neutron fraction; pile noiseLisbonne; Portugal

Source: 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA)ANIMMA 2015 - 4th International Conference on Advancements in

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Academic Journal

Fully automatic macromolecular crystallography: the impact of MASSIF-1 on the optimum acquisition and quality of data

Authors : Bowler, Matthew W.; Svensson, Olof; Nurizzo, Didier ...

Subjects: X-ray crystal centring; automation; macromolecular crystallography

Source: ISSN: 0889-311X ; Crystallography Reviews ; https://hal.science/hal-01572980 ; Crystallography Reviews, 2016, 22 (4), pp.233-249. ⟨10.1080/0889311X.2016.1155050⟩.

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Book

Data Extraction, Transformation and Integration Guided by an Ontology

Authors : Reynaud, Chantal; Pernelle, Nathalie; Rousset, Marie-Christine ...

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Source: Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction, Advances in Data Warehousing and Mining

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Academic Journal

In cellulo Evaluation of Phototransformation Quantum Yields in Fluorescent Proteins Used As Markers for Single-Molecule Localization Microscopy

Authors : Avilov, Sergiy; Berardozzi, Romain; Gunewardene, Mudalige S. ...

Subjects: fluorescent protein; single molecule; photophysics

Source: ISSN: 1932-6203.

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Dissertation/ Thesis

Automated deep learning detection of lymphocyte viability in lens-free microscopy ; Détection automatisée par deep learning de la viabilité lymphocytaire en microscopie sans lentille

Authors : Montcuquet, Anne-Sophie;

Subjects: Lymphocytes -- Microscopie; Traitement d'images -- Techniques numériques; Apprentissage profond

Source: https://dumas.ccsd.cnrs.fr/dumas-03795030 ; Médecine humaine et pathologie. 2022.

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Dissertation/ Thesis

Early classification of temporal sequences with Deep Reinforcement Learning ; Classification précoce de séquences temporelles par de l'apprentissage par renforcement profond

Authors : Martinez, Coralie;

Subjects: Early prediction; Deep neural network; Reinforcement learning

Source: https://theses.hal.science/tel-04276382 ; Signal and Image processing. Université Grenoble Alpes, 2019. English. ⟨NNT : 2019GREAT123⟩.

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L’impact de l’étayage sur l’anxiété orale et la fluidité dans la classe individuelle de FLE en ligne : le cas des apprenants chinois

Synchronization of acquisition devices in neuroimaging: An application using co-registration of eye movements and electroencephalography

Critical comparison of power-based wind turbine fault-detection methods using a realistic framework for SCADA data simulation

Modal abundance, density and chemistry of micrometer-sized assemblages by advanced electron microscopy: application to chondrites

Kinetic parameters of the GUINEVERE reference configuration in VENUS-F reactor obtained from a pile noise experiment using Rossi and Feynman methods

Fully automatic macromolecular crystallography: the impact of MASSIF-1 on the optimum acquisition and quality of data

Data Extraction, Transformation and Integration Guided by an Ontology

In cellulo Evaluation of Phototransformation Quantum Yields in Fluorescent Proteins Used As Markers for Single-Molecule Localization Microscopy

Automated deep learning detection of lymphocyte viability in lens-free microscopy ; Détection automatisée par deep learning de la viabilité lymphocytaire en microscopie sans lentille

Early classification of temporal sequences with Deep Reinforcement Learning ; Classification précoce de séquences temporelles par de l'apprentissage par renforcement profond

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