Polygenic risk scores (PRSs) aggregate genetic information to estimate individual predisposition to a trait. While most PRSs model the phenotypic mean, patterns of variability can also be informative ...

Abstract: The proposed system presents a system for network traffic classification that combines Apache Hadoop for processing large data with the Gradient Boosting Classifier (GBC) algorithm. The ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

摘要: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

Abstract: The linear development of cryptographic mechanisms has suit to a growing issue for an effective classification mechanism that can support cryptanalysis and provide advanced security systems.