نتائج البحث - "plankton images"

المساهمون: Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hatfield Marine Science Center (HMSC), Oregon State University (OSU), ANR-18-BELM-0003,WWW.PIC,World Wide Web of Plankton Image Curation(2018)

المصدر: ISSN: 2296-7745 ; Frontiers in Marine Science ; https://hal.sorbonne-universite.fr/hal-03790583Test ; Frontiers in Marine Science, 2022, 9, pp.870005. ⟨10.3389/fmars.2022.870005⟩.

مصطلحات موضوعية: plankton images, ISIIS, image processing, image segmentation, object detection, convolutional neural network, computer vision, [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography

العلاقة: hal-03790583; https://hal.sorbonne-universite.fr/hal-03790583Test; https://hal.sorbonne-universite.fr/hal-03790583/documentTest; https://hal.sorbonne-universite.fr/hal-03790583/file/fmars-09-870005.pdfTest

الإتاحة: https://doi.org/10.3389/fmars.2022.870005Test
https://hal.sorbonne-universite.fr/hal-03790583Test
https://hal.sorbonne-universite.fr/hal-03790583/documentTest
https://hal.sorbonne-universite.fr/hal-03790583/file/fmars-09-870005.pdfTest

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دورية أكاديمية

Deep Learning Classification of Lake Zooplankton

المؤلفون: Kyathanahally, Sreenath P., Hardeman, Thomas, Merz, Ewa, Bulas, Thea, Reyes, Marta, Isles, Peter, Pomati, Francesco, id_orcid:0 000-0002-9746-3735, Baity-Jesi, Marco

المصدر: Frontiers in Microbiology, 12

مصطلحات موضوعية: plankton camera, deep learning, lake plankton, Plankton classification, zooplankton images, transfer learning, Greifensee, ensemble learning, machine learning, fresh water, lake plankton images

وصف الملف: application/application/pdf

العلاقة: http://hdl.handle.net/20.500.11850/526075Test

الإتاحة: https://doi.org/20.500.11850/526075Test
https://doi.org/10.3929/ethz-b-000526075Test
https://doi.org/10.3389/fmicb.2021.746297Test
https://hdl.handle.net/20.500.11850/526075Test

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Table_1_Content-Aware Segmentation of Objects Spanning a Large Size Range: Application to Plankton Images.docx

المؤلفون: Thelma Panaïotis, Louis Caray–Counil, Ben Woodward, Moritz S. Schmid, Dominic Daprano, Sheng Tse Tsai, Christopher M. Sullivan, Robert K. Cowen, Jean-Olivier Irisson

مصطلحات موضوعية: Oceanography, Marine Biology, Marine Geoscience, Biological Oceanography, Chemical Oceanography, Physical Oceanography, Marine Engineering, plankton images, ISIIS, image processing, image segmentation, object detection, convolutional neural network, computer vision

العلاقة: https://figshare.com/articles/dataset/Table_1_Content-Aware_Segmentation_of_Objects_Spanning_a_Large_Size_Range_Application_to_Plankton_Images_docx/20014271Test

الإتاحة: https://doi.org/10.3389/fmars.2022.870005.s001Test
https://figshare.com/articles/dataset/Table_1_Content-Aware_Segmentation_of_Objects_Spanning_a_Large_Size_Range_Application_to_Plankton_Images_docx/20014271Test

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Deep Learning Classification of Lake Zooplankton

المؤلفون: Sreenath Pruthviraj Kyathanahally, Ewa Merz, Peter D. F. Isles, Thea Kozakiewicz, Marco Baity-Jesi, Francesco Pomati, Marta Reyes, Thomas Hardeman

المصدر: Frontiers in Microbiology, 12
Frontiers in Microbiology
Frontiers in Microbiology, Vol 12 (2021)

مصطلحات موضوعية: FOS: Computer and information sciences, Microbiology (medical), 0106 biological sciences, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, transfer learning, Machine learning, computer.software_genre, plankton camera, Microbiology, 010603 evolutionary biology, 01 natural sciences, Zooplankton, Machine Learning (cs.LG), plankton classification, Phytoplankton, 14. Life underwater, Quantitative Biology - Populations and Evolution, lake plankton images, Original Research, deep learning, lake plankton, Plankton classification, zooplankton images, Greifensee, ensemble learning, machine learning, fresh water, Ecosystem health, business.industry, 010604 marine biology & hydrobiology, Deep learning, fungi, Populations and Evolution (q-bio.PE), Plankton, QR1-502, Manual annotation, FOS: Biological sciences, Artificial intelligence, F1 score, business, computer

وصف الملف: application/application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f38eadf8a334083ca3a97d0a1d647fTest
https://doi.org/10.1101/2021.08.12.455943Test

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رسالة جامعية

Distribution and function of mesozooplankton in the first kilometer of the global ocean ; Distribution et fonction du mésozooplancton dans le premier kilomètre de l’océan mondial

المؤلفون: Soviadan, Yawouvi Dodji

المساهمون: Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Lars Stemmann, Kissao Gnandi

المصدر: https://theses.hal.science/tel-03731365Test ; Biodiversity and Ecology. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS469⟩.

مصطلحات موضوعية: Mesozooplankton, Global Ocean, Community structure, Particles flux, Attenuation rates, Size spectrum, Plankton images, Mesopelagic zone, Mésozooplancton, Océan Mondial, Structure de la communauté, Flux de particules, Taux d'atténuation, Spectre de taille, Imagerie du plancton, Zone mésopélagique, [SDE.BE]Environmental Sciences/Biodiversity and Ecology