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Dual prompt personalized federated learning in foundation models
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Atmospheric Transport Modeling of CO2 With Neural Networks
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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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16526
Peculiarities of Modelling of Vapour-Liquid Flows of Bubble Structure
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16527
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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Simultaneous and Proportional Control Based on an Enhanced Musculoskeletal Model
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Statistical modelling of rutting for low-volume roads in India
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Model selection in systems biology depends on experimental design.
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Econometric Modelling of Compound Cyclicality of Using Telecommunication Services
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Infrastructure for the deployment of Large Language Models: challenges and solutions
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Multi-physical modeling and analysis on UAV launching system
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Discovering nuclear models from symbolic machine learning
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Uncertainty quantification for neural network potential foundation models
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Application of the road traffic noise model to urban systems
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An Empirical Comparison of Interpretable Models to Post-Hoc Explanations
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