Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

Estimating plant traits accurately and timely is essential to improve breeding efficiency and
optimize management. By combining regression algorithms and hyperspectral reflectance …

This paper provides a comprehensive review of tree-based models and their application in
condition assessment and prediction of water, wastewater, and sewer pipe failures. Tree …

Large-scale machine learning systems are being deployed to aid in making critical
decisions in various areas of our society, including criminal justice, finance, healthcare, and …

To promote new scientific discoveries from complex data sets, feature importance inference
has been a long-standing statistical problem. Instead of testing for parameters that are only …

Consensus clustering has been widely used in bioinformatics and other applications to
improve the accuracy, stability and reliability of clustering results. This approach ensembles …

Ensemble methods, particularly boosting, have established themselves as highly effective
and widely embraced machine learning techniques for tabular data. In this paper, we aim to …

Gaussian graphical models provide a powerful framework for uncovering conditional
dependence relationships between sets of nodes; they have found applications in a wide …

The objective of this research is to address the critical task of predicting complex equations
in the fields of science, engineering, and mathematics. To achieve this, the study …

In this study, we explore odor-evoked activity representation in the olfactory bulb (OB) and
how odor responses enable odor discrimination. Contrary to some previously cited theories …