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Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting

Journal of cleaner production, 2020-07, Vol.261, p.121285, Article 121285

2020

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Interactive urban building energy modelling with functional mockup interface of a local residential building stock

Journal of cleaner production, 2021-03, Vol.289, p.125683, Article 125683

2021

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Real-time image-based air quality estimation by deep learning neural networks

Journal of environmental management, 2022-04, Vol.307, p.114560-114560, Article 114560

2022

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Integrate deep learning and physically-based models for multi-step-ahead microclimate forecasting

Expert systems with applications, 2022-12, Vol.210, p.118481, Article 118481

2022

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Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models

Journal of environmental management, 2024-02, Vol.351, p.119789-119789, Article 119789

2024

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Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations

The Science of the total environment, 2024-06, Vol.927, p.172246-172246, Article 172246

2024

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Develop a hybrid machine learning model for promoting microbe biomass production

Bioresource technology, 2023-02, Vol.369, p.128412-128412, Article 128412

2023

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High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data

Journal of cleaner production, 2023-12, Vol.433, p.139825, Article 139825

2023

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Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data

Environmental pollution (1987), 2022-08, Vol.306, p.119348-119348, Article 119348

2022

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Deep neural networks for spatiotemporal PM 2.5 forecasts based on atmospheric chemical transport model output and monitoring data

Environmental pollution (1987), 2022-04, Vol.306, p.119348

2022

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Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting

Interactive urban building energy modelling with functional mockup interface of a local residential building stock

Real-time image-based air quality estimation by deep learning neural networks

Integrate deep learning and physically-based models for multi-step-ahead microclimate forecasting

Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models

Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations

Develop a hybrid machine learning model for promoting microbe biomass production

High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data

Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data

Deep neural networks for spatiotemporal PM 2.5 forecasts based on atmospheric chemical transport model output and monitoring data

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