Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Abstract: This paper presents an efficient combination of genetic algorithms and machine-learning techniques to optimize scattering properties of 3D dielectric (PLA) slabs with surface deformations.

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search ... Finally, the effectiveness of the empirical and machine learning models is assessed through statistical techniques ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and ... might sell for more or less. If you plot it, you don’t get a nice line; you ...

"By leveraging machine learning, we can provide a tool that helps ... Data-driven consideration of genetic disorders for global genomic newborn screening programs, Genetics in Medicine (2025).

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...