The revolt of Marjorie Taylor Greene, now Donald Trump’s fiercest critic A Russia-like crackdown in Georgia is targeting ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing method robustness in 2D LC, practical approaches for tracking peaks across ...

Abstract: Sparse and unevenly distributed soil samples across the northern high-latitude region greatly limit the accuracy of soil organic carbon (SOC) mapping. Substantial discrepancies, therefore, ...

This review provides a thorough and organized overview of machine learning (ML) applications in predicting heart disease, covering technological advancements, challenges, and future prospects. As ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

Although it would be useful to incorporate these ML protocols within large-scale virtual screening campaigns in a consistent manner, the performance of these ML algorithms depends on the target and ...

With the accelerating pace of urbanization, air pollution has emerged as a critical global challenge, where ozone (O 3) concentration dynamics have become a pivotal indicator of atmospheric quality ...