Paleoclimatic measurements serve to understand Earth System processes and evaluate climate model performances. However, their spatial coverage is generally sparse and unevenly distributed across the ...

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 ...

In the face of the dual challenges of climate change and energy security, conducting in-depth research on energy and carbon emission (E&C) systems has become crucial for nations to address ...