The primary objective was to design, train, and evaluate a three-layer LSTM model for accurate price prediction, using a dataset of minute-by-minute Bitcoin prices from January 1, 2021, to March 1, ...

1 Chongqing Key Laboratory of Childhood Nutrition and Health, Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and ...

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Researchers at Lawrence Livermore National Laboratory (LLNL) collaborated with scientists from UT Austin and UC San Diego to develop a data-driven system that can infer an earthquake’s impact on the ...

1 School of Big Data and Software Engineering, Chongqing University, Chongqing, China 2 School of Computer and Information Science, Chongqing Normal University, Chongqing, China Introduction: Time ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...

Abstract: Due to its applications in numerous fields, such as weather forecasting, multivariate time series forecasting has attracted significant interest. This paper promotes AB-LSTM (Attention ...