Abstract: This study addresses the issue of rapid, non-destructive detection of pesticide residues in black vegetable (Brassica narinosa L.H. Bailey) by proposing a multi-classifier entropy weighted ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Abstract: One of the deadliest and most catastrophic natural disasters is floods which cause a significant number of damages in infrastructures and agricultural land. Real-time flood management ...

Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and improving ...