Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

Implement pattern matching for technical skills Categorize skills into domains (Programming, Web Tech, Cloud, etc.) Calculate frequency analysis of skills Generate insights on most in-demand skills ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

Abstract: Nonlinear and non-Gaussian characteristics are common in industrial processes. Artificial neural correlation analysis (ANCA) is a good nonlinear process monitoring algorithm, which combines ...

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...

Abstract: The health condition and remaining useful life (RUL) prediction of lithium-ion batteries are of vital importance to the safety of energy supply systems. Nonetheless, existing methods for ...