Abstract: Market forecasting plays a critical role in economic signal processing. In this study, a model that applies the moving average convergence divergence (MACD) indicator together with ...

Background: High body mass index (HBMI) and high fasting plasma glucose (HFPG), two key metabolic risk factors, are strongly associated with colorectal cancer (CRC). However, systematic quantification ...

ABSTRACT: Accurate forecasting of diesel prices is essential for Malaysia, where transportation, agriculture, and industry are highly dependent on this fuel. This study investigates the effectiveness ...

Researchers have introduced a new innovative approach that harnesses artificial intelligence and advanced optimization techniques to enhance the accuracy and adaptability of foreign exchange (FX) ...

Dr. McBain studies policies and technologies that serve vulnerable populations. On any given night, countless teenagers confide in artificial intelligence chatbots — sharing their loneliness, anxiety ...

Abstract: This paper proposes a novel signal decomposition (SD) method for ML-based forex forecasting. Traditional SD techniques like empirical mode decomposition (EMD) often face morphological ...

Time Series Forecasting Experiments A collection of hands-on experiments with time series data, featuring models like ARIMA, LSTM, and Prophet. From data preprocessing to forecasting, explore ...

Wind speed forecasting plays a critical role in ensuring optimal operation and dispatch of power systems, especially with the global expansion of wind energy. However, the inherently nonstationary and ...

The Yellow River is the largest inflow into the Bohai Sea, and its inflow changes directly affect the ecological environment and marine health of the Bohai Sea. Therefore, accurate prediction of the ...