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3D‐Var data assimilation using a variational autoencoder

Quarterly journal of the Royal Meteorological Society, 2024-04, Vol.150 (761), p.2273-2295

2024

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State-to-state dynamics and machine learning predictions of inelastic and reactive O(3P) + CO(1∑+) collisions relevant to hypersonic flows

The Journal of chemical physics, 2024-05, Vol.160 (17)

2024

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Size, distribution, and vulnerability of the global soil inorganic carbon

Science (American Association for the Advancement of Science), 2024-04, Vol.384 (6692), p.233-239

2024

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Physics-Informed Data-Driven Machine Learning Cross-Scale Cold Atmospheric Plasma Chemistry

2023 IEEE International Conference on Plasma Science (ICOPS), 2023, p.1-1

2023

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IEEE_Xplore

Impact of long-term mining activity on groundwater dynamics in a mining district in Xinjiang coal Mine Base, Northwest China: insight from geochemical fingerprint and machine learning

Environmental science and pollution research international, 2024-05, Vol.31 (22), p.32136-32151

2024

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Emulation of Cloud Microphysics in a Climate Model

Journal of advances in modeling earth systems, 2024-04, Vol.16 (4), p.n/a

2024

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Using machine learning with atomistic surface and local water features to predict heterogeneous ice nucleation

The Journal of chemical physics, 2024-03, Vol.160 (12)

2024

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Hierarchical Predictions of Fine-to-Coarse Time Span and Atmospheric Field Reconstruction for Typhoon Track Prediction

Atmosphere, 2024-05, Vol.15 (5), p.605

2024

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Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods

Natural hazards (Dordrecht), 2024, Vol.120 (8), p.7871-7895

2024

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Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-9

2024

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IEEE_Xplore

Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook

Building simulation, 2024-05, Vol.17 (5), p.695-722

2024

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Deterministic Forecasting and Probabilistic Post‐Processing of Short‐Term Wind Speed Using Statistical Methods

Journal of geophysical research. Atmospheres, 2024-04, Vol.129 (7), p.n/a

2024

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Attribution analysis and forecast of salinity intrusion in the Modaomen estuary of the Pearl River Delta

Frontiers in Marine Science, 2024-05, Vol.11

2024

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Research on Atmospheric Pollution Gas Concentration Detection System Based on Hybrid Learning Model

2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC), 2023, p.1-5

2023

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Turbulence Closure With Small, Local Neural Networks: Forced Two‐Dimensional and β‐Plane Flows

Journal of advances in modeling earth systems, 2024-04, Vol.16 (4), p.n/a

2024

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Graph Reinforcement Learning for Multi-Aircraft Conflict Resolution

IEEE transactions on intelligent vehicles, 2024-03, Vol.9 (3), p.4529-4540

2024

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IEEE_Xplore

Machine Learning-Based Dynamic Signal Switching: A Promising Solution to Traffic Congestion

2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2023, p.1-8

2023

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Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data use and Ensemble Construction Methods

Seca, Marta Sofia Lopes

2020

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ProQuest

Differentiating Periodic Drivers of Air Quality Changes: A Two‐Step Decomposition Approach Integrating Machine Learning and Wavelet Analysis

Journal of geophysical research. Atmospheres, 2024-04, Vol.129 (7), p.n/a

2024

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A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics

Journal of advances in modeling earth systems, 2024-03, Vol.16 (3), p.n/a

2024

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Retrieval of Leaf Area Index From MODIS Surface Reflectance by Incorporating the Subpixel Information From Decametric-Resolution Data

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1

2024

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Application of machine learning and resistivity measurements for 3D apparent geological modeling in the Yilan plain, Taiwan, at the SW Tip of the Okinawa trough

Geoscience letters, 2024-12, Vol.11 (1), p.25-15

2024

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Application of the teaching-learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters

Natural hazards and earth system sciences, 2024-05, Vol.24 (5), p.1657-1679

2024

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Prediction of Atmospheric Profiles With Machine Learning Using the Signature Method

Geophysical research letters, 2024-03, Vol.51 (6), p.n/a

2024

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Estimation of Nighttime Aerosol Optical Depths Using Atmospheric Infrared Sounder Longwave Radiances

Geophysical research letters, 2024-04, Vol.51 (8), p.n/a

2024

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3D‐Var data assimilation using a variational autoencoder

State-to-state dynamics and machine learning predictions of inelastic and reactive O(3P) + CO(1∑+) collisions relevant to hypersonic flows

Size, distribution, and vulnerability of the global soil inorganic carbon

Physics-Informed Data-Driven Machine Learning Cross-Scale Cold Atmospheric Plasma Chemistry

Impact of long-term mining activity on groundwater dynamics in a mining district in Xinjiang coal Mine Base, Northwest China: insight from geochemical fingerprint and machine learning

Emulation of Cloud Microphysics in a Climate Model

Using machine learning with atomistic surface and local water features to predict heterogeneous ice nucleation

Hierarchical Predictions of Fine-to-Coarse Time Span and Atmospheric Field Reconstruction for Typhoon Track Prediction

Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods

Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow

Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook

Deterministic Forecasting and Probabilistic Post‐Processing of Short‐Term Wind Speed Using Statistical Methods

Attribution analysis and forecast of salinity intrusion in the Modaomen estuary of the Pearl River Delta

Research on Atmospheric Pollution Gas Concentration Detection System Based on Hybrid Learning Model

Turbulence Closure With Small, Local Neural Networks: Forced Two‐Dimensional and β‐Plane Flows

Graph Reinforcement Learning for Multi-Aircraft Conflict Resolution

Machine Learning-Based Dynamic Signal Switching: A Promising Solution to Traffic Congestion

Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data use and Ensemble Construction Methods

Differentiating Periodic Drivers of Air Quality Changes: A Two‐Step Decomposition Approach Integrating Machine Learning and Wavelet Analysis

A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics

Retrieval of Leaf Area Index From MODIS Surface Reflectance by Incorporating the Subpixel Information From Decametric-Resolution Data

Application of machine learning and resistivity measurements for 3D apparent geological modeling in the Yilan plain, Taiwan, at the SW Tip of the Okinawa trough

Application of the teaching-learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters

Prediction of Atmospheric Profiles With Machine Learning Using the Signature Method

Estimation of Nighttime Aerosol Optical Depths Using Atmospheric Infrared Sounder Longwave Radiances

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