Search results for learning models
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523 datasets for “learning models”
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Modeling the effect of biostimulants on Poinsettia crop performance
Guibert, NicolasUpdated 11 Dec 2025
Lien vers la fiche source Modeling the effect of biostimulants on horticultural crop performance, Poinsettia: an approach combining …
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Predictive metabolomics of pearl millet phenotypic traits using a germoplasm panel of genetic diversity
Pinheiro Costa Pimentel, MarianaUpdated 29 Apr 2025
Lien vers la fiche source Metabolic diversity in genotypes of the germplasm core collection of Pearl millet from …
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Synthetic Datasets and Evaluations for Sub-pixel Displacements Estimation from Optical Satellite Images with Deep Learning
Montagnon, TristanUpdated 2 Nov 2023
… Contains also evaluations on realistic synthetics examples of a deep learning pipeline using two of the three models …
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Physics-based Simulations of 3D Wave Propagation with Source Variability: HEMEW^S-3D
Lehmann, FannyUpdated 19 Sept 2024
Lien vers la fiche source The HEMEW^S-3D database contains 30,000 simulation results of the 3D …
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Prediction of quaternary alkali metal hydroxide - water mixture melting points using machine learning
Roach, LucienUpdated 19 Jul 2024
… In this work, we use an artificial neural network model to estimate the melting points of fluxes and …
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Morphological map of the Irish continental shelf created using Deep Learning
Marine Institute IrelandUpdated 31 Jul 2024
… qualitatively and quantitatively best Fully Convolutional Neural Networks models obtained in the study: Arosio, R., Hobley, B., Wheeler …
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Data for learning-based prediction of the particles catchment area of deep ocean sediment traps
Univ Brest, CNRS, IRD, Ifremer, Laboratoire des Sciences de l’Environnement Marin (LEMAR), IUEM, Plouzané, FranceUpdated 3 Oct 2024
… The saved parameters and logs of the machine learning models. -IV. Some processed data such as kinetic energy …
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Data from Hackathon "GenHack 3 Generative Modeling Challenge": Predicting maize crop yield distribution under stochastic weather
Métivier, DavidUpdated 17 Jan 2025
… The SWG is an extension of the model described in the paper "Interpretable Seasonal Hidden Markov Model for …
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Data from paper entitled "Explainable machine learning to identify activity-related, insulin and dietary thresholds for prevention of exercise-associated hypoglycaemia and hyperglycaemia in free-living children with type 1 diabetes"
IQBAL, AsifUpdated 18 Feb 2026
… Ensemble machine-learning models predicted hypoglycaemia (<70 mg·dL⁻¹) and hyperglycaemia (>180 mg·dL⁻¹) during exercise …
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Inverse QSAR: reversing descriptor-driven prediction pipeline using attention-based conditional variational autoencoder (ACoVAE)
BORT, WilliamUpdated 5 Oct 2022
… The data is the following : - model.yaml : the model parameters in yaml format - chembl23_umap1_std.smi : the …
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Electric Vehicle Charging Dataset
Mendeley DataUpdated 10 Apr 2024
… This data can be useful in training machine learning algorithms, specifically, reinforcement learning algorithms. The connection time range …
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Pretrained Transformers of "B-spline Curve Approximation With Transformer Neural Networks" article
Saillot, MathisUpdated 11 Apr 2025
… With Transformer Neural Networks article This dataset contains model checkpoints along with configuration and log files of trained …
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Utilisation de l'IA pour un positionnement amélioré des landmarks 3D : corriger les biais des méthodes de registration traditionnelles
Guillaumot, CharlèneUpdated 9 Apr 2026
… Images .tif files and associated manual landmarks are provided with this metadata file, along with DL model weights …
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MD simulations and ML dataset of HLA-EpiCheck epitope predictor tool
AMAYA RAMIREZ, DiegoUpdated 20 Jun 2024
… Table containing the antigen and central residue associated to each patch. - model_ERF_radius_15.pkl: ML model …
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Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production
Sandia National LaboratoriesUpdated 22 May 2024
This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in …
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SDM of black grouse broods in the French Alps
DEFOSSEZ, ALEXANDREUpdated 14 Oct 2024
… The SDM is based on random forest models. It contains three folders: - 01_Landscape_Classification_Deep_Learning: land …
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Emission pathways
Climate WatchUpdated 9 Dec 2024
… Global Calculator, Model for Evaluating the Regional and Global Effects of GHG Reduction Policies with Endogenous Technology Learning.
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Data for - MuFFIN - Modelling Foraging Fitness in Marine Predators
CHIMIENTI, MariannaUpdated 16 Nov 2022
… H2020-Marie Skłodowska-Curie Individual Fellowship, project number 890284, "Modelling Foraging Fitness in Marine predators (MuFFIN)", awarded to …
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Composition-based statistical model for predicting CO2 solubility in Modified Atmosphere Packaging application
Münch, MélanieUpdated 22 Sept 2022
… In the present study, machine learning algorithms were applied on a set of 362 values of CO2 solubilities …
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Automated image acquisition and quantification of leaf lesion from plant fungal pathogen
GRIMONPONT, MARGOTUpdated 9 Jul 2025
… a training script for model development, a prediction script using the trained model, and post-processing tools for …
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