Entropy-Guided Clustering Tackles Robust Fitting of Multiple Structures in Noisy Data
Researchers at Xiamen University of Technology have developed an entropy-driven clustering method that automatically tunes its own thresholds to separate ...
Researchers at Xiamen University of Technology have developed an entropy-driven clustering method that automatically tunes its own thresholds to separate ...
Researchers in China have developed a new two-dimensional nonlinear sine-sqrt-cubic hyperchaotic map that encrypts color remote sensing images with near-ideal ...
Researchers in Xi'an have developed an information-theory-based anomaly detection method that outperforms state-of-the-art algorithms on critical industrial control system benchmarks.
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine