SinoXivSupply chain carbon emissions account for over 80% of greenhouse gas output in most consumer industries, yet the operational link between demand forecasting accuracy and downstream environmental impac...
Nitrogen oxide (NOx) emissions from heavy-duty vehicles pose significant environmental and health risks, especially in urban regions with high traffic density. This study presents a comparative multi-...
Dementia mortality and projected inequalities in the United States, 1999–2050: a CDC WONDER analysis
Background:Dementia is a leading cause of death in older adults in the United States, and the population at greatest risk is expanding as post-war birth cohorts move through later life. Existing natio...
This study presents a forecasting and comparative analysis of moderate geomagnetic storms using artificial neural networks (ANNs). Four moderate geomagnetic storm events that occurred during 2022, in ...
This study introduces an innovative methodological framework for AI-driven talent chain management, addressing key challenges in workforce optimization, collaboration dynamics, and innovation assessme...
Timely and accurate electricity price forecasting is essential for the efficient operation of competitive electricity markets. However, predicting day-ahead electricity prices remains challenging due ...
Industrial Internet-of-Things (IIoT) environments continuously generatemassive, heterogeneous streams of sensor readings, operational logs, andalarm messages, demanding intelligent systems capable of ...
Forecasting the consumer price index (CPI) is essential for inflation monitoring and policy design, yet existing studies often rely on limited economic variables and single-country settings. This stud...
