Time-series data analysis serves as a critical foundation for decision-making across diverse domains including energy management, financial markets, healthcare monitoring, and urban transportation ...

This study explores the characteristics of a nonlinear fractional chaotic model applying a fractional-order variation approach, leveraging radial basis function neural networks (RBFNN) for efficient ...

Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for ...

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...

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