Multisource neural network feature map fusion: An efficient strategy to detect plant diseases

Autor: Guillaume Heller, Eric Perrin, Valeriu Vrabie, Cedric Dusart, Marie-Laure Panon, Marie Loyaux, Solen Le Roux

Publikováno v: Intelligent Systems with Applications, Vol 19, Iss , Pp 200264- (2023)

The use of RGB cameras or multispectral imaging systems can provide a wide range of applications for crop monitoring, plant phenotyping and disease detection. Although several approaches have been proposed, they increasingly use convolutional neural

Externí odkaz: https://doaj.org/article/e7bf5c7a209d49e08456ffbaaa8bd1e4

Curvature gradient drives polarized tissue flow in the Drosophila embryo

Autor: Emily W. Gehrels, Bandan Chakrabortty, Marc-Eric Perrin, Matthias Merkel, Thomas Lecuit

Publikováno v: Proceedings of the National Academy of Sciences. 120

Tissue flow during morphogenesis is commonly driven by local constriction of cell cortices, which is caused by the activation of actomyosin contractility. This can lead to long-range flows due to tissue viscosity. However, in the absence of cell-intr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bca33523adf96d614ee181c3ae2bc38f
https://doi.org/10.1073/pnas.2214205120

Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid Flows

Autor: Nissrine Akkari, David Ryckelynck, Fabien Casenave, Marc-Eric Perrin

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030522452
SAI (2)
Computing Conference 2020
Computing Conference 2020, Jul 2020, Virtual, United States. pp.264-276, ⟨10.1007/978-3-030-52246-9_18⟩

In this work, we are studying the use of Deep Convolutional Generative Adversarial Networks (DCGANs) for numerical simulations in the field of Computational Fluid Dynamics (CFD) for engineering problems. We claim that these DCGANs could be used in or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73cdad6f3a64934eb41de26f964303a9
https://doi.org/10.1007/978-3-030-52246-9_18

Selection of discriminant mid-infrared wavenumbers by combining a naïve Bayesian classifier and a genetic algorithm: Application to the evaluation of lignocellulosic biomass biodegradation

Autor: Eric Perrin, Valeriu Vrabie, Abbas Rammal, Rabih Assaf, H. Fenniri

Publikováno v: Mathematical Biosciences
Mathematical Biosciences, Elsevier, 2017, 289, pp.153-161. ⟨10.1016/j.mbs.2017.05.002⟩

Infrared spectroscopy provides useful information on the molecular compositions of biological systems related to molecular vibrations, overtones, and combinations of fundamental vibrations. Mid-infrared (MIR) spectroscopy is sensitive to organic and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::269abbe4a3448ec959beebf7cf3512d2
https://hal.archives-ouvertes.fr/hal-02973853

Numerical Model of the Capacitive Probe's Capacitance for Measuring the External Loads Transmitted by the Bearing's Rolling Elements of Rotating Machines

Autor: Eric Perrin, Patrick Marconnet, Lanto Rasolofondraibe, Bernard Pottier

Publikováno v: IEEE Sensors Journal
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2013, 13 (8), pp.3067-3072. ⟨10.1109/JSEN.2013.2261373⟩

The bearings of rotating machines are comprised of rolling elements arranged between two coaxial rings. Rolling elements transfer the external load from one raceway to the other. This load's distribution on the rolling elements is uneven and depends

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b6bbb7d901c2dd94a5e9948ef8afea7
https://doi.org/10.1109/jsen.2013.2261373