Power electronic systems include many fragile elements, with power devices being the most prone to failure. Cycle counting algorithms are essential to evaluate power devices degradation and system ...

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...

Amyotrophic lateral sclerosis (ALS) is a progressive and debilitating neurodegenerative disease. Digital biomarkers derived from smartphone data can enable scalable, low-cost, remote, unobtrusive, and ...

System schematic for automatic detection of sister chromatid exchanges. Machine learning techniques have been used to develop a set of algorithms that can identify and count SCEs in microscopy images.

Abstract: In this article, a regularized autocorrelated errors variable step size (VSS) filtered-x least mean square (RAEVSS-FxLMS) algorithm is proposed for adaptive active noise control (ANC) ...

The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...