Missing a night of sleep leaves a specific chemical signature in saliva that can be reliably detected with a high degree of ...

Abstract: A number of machine learning (ML) algorithm based small signal modeling of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs) have been reported in literature. However, these ...

Plus: How TikTok users gauge credibility, and good news about the viability of a shift away from commercial journalism.

Abstract: Ensemble methods such as random forest works well on high-dimensional datasets. However, when the number of features is extremely large compared to the number of samples and the percentage ...

RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.

Artificial intelligence (AI) has been making great strides in generating and translating human language. Large language models (LLMs) have quickly moved beyond simply dealing with human speech to ...

This research aims to advance the detection of Chronic Kidney Disease (CKD) through a novel gene-based predictive model, leveraging recent breakthroughs in gene sequencing. We sourced and merged gene ...

For a while, limitations in technology meant that animators and researchers were only capable of creating human-like faces which seemed a little “off”. Films like 2004’s The Polar Express made some ...

Diagnosing the drowning site is a major challenge in forensic practice, particularly when corpses are recovered from flowing rivers. Recently, forensic experts have focused on aquatic microorganisms, ...

Approximate Message Passing (AMP) serves as both a family of efficient first-order algorithms and a powerful theoretical machinery for high-dimensional data analysis, which has found applications in a ...