Artificial Intelligence | Climate Change | Renewable Energy Reliable renewable energy forecasting for climate change mitigation. June 10, 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
Climate Change | Coastal Management | Environmental Science | Geospatial Imaging Quantifying the scale of erosion along major coastal aquifers of Pakistan using geospatial and machine learning approaches. April 25, 2024
Chemical Engineering | Climate Change | Renewable Energy Toward Predicting Interfacial Tension of Impure and Pure CO-Brine Systems Using Robust Correlative Approaches. February 26, 2024
Climate Change | Environmental Science | Remote Sensing A time-continuous land surface temperature (LST) data fusion approach based on deep learning with microwave remote sensing and high-density ground truth observations. January 12, 2024
Climate Change | Environmental Science | Wastewater Management Prediction of nitrous oxide emission of a municipal wastewater treatment plant using LSTM-based deep learning models. December 6, 2023
Climate Change | Deep Learning | Geology OutcropHyBNet: Hybrid Backbone Networks with Data Augmentation for Accurate Stratum Semantic Segmentation of Monocular Outcrop Images in Carbon Capture and Storage Applications. November 14, 2023
Climate Change | Environmental Science | Marine Biology | Remote Sensing BoatNet: automated small boat composition detection using deep learning on satellite imagery. May 25, 2023
Climate Change | Environmental Science | Remote Sensing ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation. March 28, 2023
Climate Change | Food security | Geospatial Analysis | Remote Sensing An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security. January 19, 2023
Climate Change | Electrical Engineering | Energy Management Deep learning-based neural networks for day-ahead power load probability density forecasting. October 6, 2022
Carbon Trading Market | Climate Change | Economics A novel hybrid learning paradigm with feature extraction for carbon price prediction based on Bi-directional long short-term memory network optimized by an improved sparrow search algorithm. September 20, 2022