This is the Best of the Week. Voices from the Analytical Front Line: Bingchuan Wei on Chromatography in 2026 In the year 2026, chromatography is undergoing a series of advancements and challenges.

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

Abstract: The twin support vector machine (TWSVM) classifier and its fuzzy variant fuzzy twin support vector machine (FTSVM) have received considerable attention due to their low computational ...

Learn how ECG noise filtering that adapts to noise type improved QT and QRS accuracy and supports more reliable cardiac ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

WORK Medical Technology Group LTD (Nasdaq: WOK) (“WORK Medical”, the “Company” or “we”), a supplier of medical devices in China, through its subsidiary, Work (Hangzhou) Medical Treatment Equipment Co.

The Internet Archive, also known as the Wayback Machine, is generally regarded as a place to view old web pages, but its value goes far beyond reviewing old pages. There are five ways that Archive.org ...

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...