Nature

Prediction of InSAR deformation time-series using improved LSTM deep learning model

Mining-induced subsidence is one of the major concerns of mining industry/mine owners, statutory bodies, and environmental organisations. Therefore, mine subsidence monitoring and prediction is of ...
Nature

Comparison of deep LSTM and machine learning models for predicting compressive strength of fly ash/slag-based geopolymer concrete

AI-based modeling of CO 2 footprint in geopolymer concrete production containing GGBFS as a by-product from the iron industry Table 1 summarizes the literature review on the algorithms developed for ...
Science Daily

Researchers use deep learning to predict flooding this hurricane season

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...