Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The tax landscape has shifted beneath our feet. What used to be manual reviews and random selections has morphed into ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Older high-income workers who make contributions beyond the standard amount will have to put that extra money into a Roth 401(k). That may lower their take-home pay. By Ann Carrns If you’re a ...

This paper proposes a domain constraint strategy based on the k-means algorithm and combines it with the currentbased learning method for the inversion of highly nonlinear targets. The nonlinearity of ...

Abstract: In the Internet of Things, information fusion is among the crucial problems and probably occurs due to the dense deployment of consumer electronic devices. In the literature, various ...

Rachel Feltman: For Scientific American’s Science Quickly, I’m Rachel Feltman. TikTok’s algorithm, which shapes what more than a billion users see, has developed an almost mystical reputation for ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...