Agriculture | Environmental Science | Predictive Modeling Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data. September 24, 2024
Agriculture | Ecology | Machine Learning | Remote Sensing Remote Sensing Monitoring of Grassland Locust Density Based on Machine Learning. May 25, 2024
Climate Change | Data Science | Hydrology Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling. April 28, 2024
Data Science | Environmental Health | Public Health An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction. February 22, 2024
Environmental Science | Public Health Improved prediction of hourly PM concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model. November 28, 2023
Data Science | Environmental Science | Public Health A hybrid deep learning model for regional O and NO concentrations prediction based on spatiotemporal dependencies in air quality monitoring network. January 14, 2023
Environmental Health | Public Health New Deep Learning Model to Estimate Ozone Concentrations Found Worrying Exposure Level over Eastern China. June 24, 2022
Atmospheric Science | Environmental Health | Public Health Spatiotemporal neural network for estimating surface NO concentrations over north China and their human health impact. May 23, 2022
Energy Forecasting | Renewable Energy Ultra-short-term power forecast method for the wind farm based on feature selection and temporal convolution network. February 9, 2022
Data Science | Environmental Science | Remote Sensing A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM. January 19, 2021
Machine Learning | Meteorology A mask R-CNN model for reidentifying extratropical cyclones based on quasi-supervised thought. September 15, 2020