Search results for machine learning
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105 datasets for “machine learning”
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Time-Series RGB Image Dataset of Wheat–Weed Interactions under Controlled Mesocosm Conditions
GEE, ChristelleUpdated 30 Mar 2026
… the development and evaluation of computer vision and machine learning approaches for plant detection, segmentation, and classification. -This …
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An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets.
Influenza Division/Immunology and Pathogenesis Branch/Pathogenesis Laboratory TeamUpdated 9 Mar 2026
… Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data …
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Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
Lelong, CamilleUpdated 10 Feb 2025
… fins d'apprentissage d’algorithmes de Machine Learning ou de Deep Learning. La nomenclature contient toutes les classes …
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Database of direct numerical simulations of Rayleigh-Taylor turbulence at low density contrast: 0D volume-averaged quantities
Thévenin, SébastienUpdated 23 Apr 2025
… Thévenin, "Contribution of machine learning to the modeling of turbulent mixing", PhD thesis, Université Paris-Saclay, 2024. URL …
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A multi-tagged Sentinel-1 wave mode SAR image dataset near Barbados (MulTags-SARwv)
School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, ChinaUpdated 17 Apr 2024
… significant potential for investigating MABL processes and complements SAR classification materials for the development of machine learning methods.
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Dynamic epimarks in sex-related genes predict gonad phenotype in seabass, a fish with mixed genetic and environmental sex determination
MARBEC, Univ. Montpellier, Ifremer-CNRS-IRD. Chemin de Maguelone, 34250 Palavas-les-Flots, France.Updated 28 Oct 2025
… Utilizing a machine-learning procedure based on the methylation levels of a selected set of CpGs, we present …
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Complementarity and discriminatory power of genotype and otolith shape in describing the fine-scale population structure of an exploited fish, the common sole of the Eastern English Channel
ESE, Ecologie et Santé des Ecosystèmes, Agrocampus Ouest, INRAE, 65 rue de Saint-Brieuc, F-35042 Rennes Cedex, France Statistical and Actuarial Science Department, Simon Fraser University, 8888 University Drive, V5A2L6 Burnaby, BC, CanadaUpdated 12 May 2021
… Finally, we combined the genotypes and otolith phenotypes in a supervised machine learning framework to probabilistically assign adults …
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Simulated data for searches for electroweakino dark matter in the monojet channel
MASELEK, RafalUpdated 7 Nov 2024
Lien vers la fiche source Dataset associated with the "Machine Learning Electroweakino Production" publication ( https://doi.org/10 …
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Qualité de l’Air dans le réseau de transport francilien
Île-de-France MobilitésUpdated 8 Sept 2026
… Elle repose sur un modèle statistique basé sur une technique avancée de machine learning développé par Airparif, utilisant …
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Carbon Intensity Forecast and Power Generation Mix - National
National Energy System OperatorUpdated 10 Mar 2025
… The values are calculated using state-of-the-art machine learning and power system modelling techniques, incorporating emissions …
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Qualité de l’air dans le réseau de transport francilien
Île-de-France MobilitésUpdated 8 Sept 2026
… Elle repose sur un modèle statistique basé sur une technique avancée de machine learning développé par Airparif, utilisant …
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- GEOJSON
- ODS API
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Qualité de l’air dans le réseau de transport francilien
Île-de-France MobilitésUpdated 8 Sept 2026
… Elle repose sur un modèle statistique basé sur une technique avancée de machine learning développé par Airparif, utilisant …
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- ODS API
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Projet BoscEnFlux - Cartographie 2017 de la composition du couvert forestier sur imagerie Sentinel-2, zone d’étude « Médoc »
HAUTDIDIER, BaptisteUpdated 4 Oct 2024
… La bibliothèque de machine learning de la suite logicielle OrfeoToolBox est utilisée en trois temps. Après un premier …
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Exemple data for 2D image annotations onto 3D models
Ifremer, Centre de Bretagne, REM/EEP, Laboratoire Environnement Profond, 29280 Plouzané, FranceUpdated 10 Sept 2024
… On the one hand, using collaborative web-based tools and machine learning algorithms, biological and geological features can …
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Global Look-Up Table of Physiological Ratios for the Real-Time Adjustment of Chlorophyll-a Fluorescence within the OneArgo Framework
Updated 21 Apr 2026
… The LUT was developed using two different gap-filled observational Argo-based products (SOCA machine learning-based methodology …
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Projet BoscEnFlux - Cartographie 2018 de la composition du couvert forestier sur imagerie Sentinel-2, zone d’étude « Sauternais »
HAUTDIDIER, BaptisteUpdated 4 Oct 2024
… La bibliothèque de machine learning de la suite logicielle OrfeoToolBox est utilisée en deux temps. Après un premier …
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Plankton and particles from Seaexplorer glider and UVP6 across the Ligurian Front
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, Villefranche‐sur‐Mer, France. ACRI‐ST, Sophia Antipolis, France.Updated 6 Jun 2024
… or unidentifiable) with the help of a supervised machine learning algorithm. As sorting all 400k+ images would have …
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Major depletion in the insulin-sensitive signature of the gut microbiome in antiretroviral treatment-controlled persons living with HIV
Belda, EugeniUpdated 19 Jan 2024
… matched individuals by means of univariate analyses and machine learning methods. Moreover, we used two external datasets to …
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Transport for West Midlands Traffic Survey Camera Locations 2025
Transport for West MidlandsUpdated 16 Sept 2026
… automated axle and speed counters to Vivacity AI machine learning cameras and manual passage and turning counts. Although …
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Taxonomic profiles, functional profiles and manually curated metadata of human fecal metagenomes from public projects coming from colorectal cancer studies
BARBET, PaulineUpdated 20 May 2025
… health), this dataset was created to assess various machine learning classification methods for colorectal cancer risk stratification. Cohort …
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