Precipitation is considered a crucial component in the hydrological cycle and changes in its spatial pattern directly influence the water resources.
Ruting Yang, Bing Xing
doaj +2 more sources
Leveraging Large Language Models for Discrepancy Value Prediction in Custody Transfer Systems: A Comparative Analysis of Probabilistic and Point Forecasting Approaches [PDF]
Discrepancies in custody transfer systems in the oil and gas industry pose significant financial, regulatory, and operational risks. Accurate prediction of these discrepancies is critical to optimizing operations and minimizing potential losses.
Fiki Hidayat +4 more
doaj +2 more sources
Forecasting Tuberculosis Incidence in Somalia: A Comparative Analysis of Single and Hybrid Time‐Series Models [PDF]
Background Tuberculosis (TB) remains a significant public health challenge, necessitating accurate forecasting methodologies to support effective control and prevention strategies. This paper explores the application and comparative performance of single
Hana Mahdi Dahir +4 more
doaj +2 more sources
Prediction OPEC oil price utilizing long short-term memory and multi-layer perceptron models
The present study undertakes a comprehensive assessment of two predictive models, namely Long Short-Term Memory (LSTM) and Multi-layer Perceptron (MLP), with a specific emphasis on their effectiveness in predicting oil prices, particularly those of the ...
Hiyam Abdulrahim +3 more
doaj +2 more sources
A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness
Background The global impact of the highly contagious COVID‐19 virus has created unprecedented challenges, significantly impacting public health and economies worldwide.
Somit Jain +3 more
doaj +2 more sources
PROJECTED TRENDS IN FRESH OR CHILLED RABBIT AND HARE MEAT PRODUCTION IN ROMANIA AND THE EUROPEAN UNION THROUGH 2035 [PDF]
Romania and the European Union (EU) have encountered significant declines in recent decades, driven by changing consumer tastes, economic limitations, and changed attitudes towards rabbit meat. This study aims to forecast production trends in Romania and
Silviu-Ionuț BEIA +7 more
doaj +1 more source
In addressing the complexity, limited information, and dynamic spatiotemporal characteristics encountered in predicting pellet strength with traditional methods, this study proposes a novel prediction model for the strength of fusible pellets, developed ...
Weixing Liu +5 more
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ChatGPT's performance in sample size estimation: a preliminary study on the capabilities of artificial intelligence. [PDF]
Background: Artificial intelligence tools, including large language models such as ChatGPT, are increasingly integrated into clinical and primary care research.
Sebo P, Wang T.
europepmc +2 more sources
Mean absolute error (MAE), R squared, root mean squared error (RMSE), symmetric mean absolute percentage error (SMAPE) for train, test & validation data.
Swapnashree Satapathy (15426889) +9 more
core +1 more source
A Large-Scale Wireless Cell Long-Term Daily-Granularity Forecasting Method
Optimizing and managing wireless communication network, including improving the utilization of network resources, energy efficiency, automatically carrying out wireless network planning and network construction, is very important to the communication ...
Wei Fang, Yun Chen, Ning Pan, Bin Ran
doaj +1 more source

