Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
The mining project of MCC Jiangxi Copper Aynak Mining Co., Ltd. in Afghanistan is of strategic and economic importance. However, the region’s long-term conflict has disrupted the local talent ...
Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...
Opinion
10dOpinion
How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Abstract: The expansion of Internet of Things (IoT) infrastructure has increased data dimensionality, creating challenges for intrusion detection systems (IDS) in resource-constrained environments.
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and myocardial fibrosis plays a central role in the pathophysiology process.
The genetic architecture of a trait plays a vital role in the predictive ability of genomic models. While classical methods such as genomic best linear unbiased prediction (GBLUP) remain widely used ...
Abstract: The majority of the unsupervised feature selection methods usually explore the first-order similarity of the data while ignoring the high-order similarity of the instances, which makes it ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results