In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively simple forecasting strategy can outperform several leading machine learning ...

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...

Predictive modeling is reshaping how businesses anticipate challenges, seize opportunities, and optimize processes. By leveraging machine learning, ensemble methods, and advanced analytics, ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Advances in AI and 3D printing are enabling a move from centralized, globalized production to localized, on-demand ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

Modern ERP platforms are becoming smarter, more adaptive, and far more predictive, unlocking capabilities that were nearly impossible just a few years ago. For organizations looking to stay ...

A new wave of intelligent water systems powered by Artificial Intelligence of Things (AIoT) is transforming how governments and industries monitor, predict, and manage water resources, as mounting ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional ...

This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...