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APPLICATION OF SOFT SETS TO ASSESSMENT OF MATHEMATICAL MODELLING SKILLS
Published 2022-01-01Get full text
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Dual prompt personalized federated learning in foundation models
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Efficient equivariant model for machine learning interatomic potentials
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Globalizing manifold-based reduced models for equations and data
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Reply to Comment on “Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling” by Jasper Vrugt
Published 2024-11-01“…Jasper Vrugt on the Metropolis‐Hastings (M‐H) algorithm with multiple independent Markov chains proposed by Huang and Merwade (2023a), https://doi.org/10.1029/2023wr034947 concerning the validity of the methodology in estimating Bayesian model averaging (BMA) parameters (weights and variances) of the framework proposed by Raftery et al. (2005), https://doi.org/10.1175/mwr2906.1. …”
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Atmospheric Transport Modeling of CO2 With Neural Networks
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Developing an Automated Model-Based Software Testing Tool From the Design Phase
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Estimation and analysis of vegetation parameters for the water cloud model
Published 2024-11-01Get full text
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Visual tracking by matching points using diffusion model
Published 2025-08-01“…In the second stage, the predicted regions are input into the Segment Anything Model 2 (SAM2), which refines them into accurate per-frame segmentation masks. …”
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