A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Abstract: The random forest algorithm was applied to the dry slag discharge control system in power plants to enable intelligent control of thermal slag transportation, discharge, and damper ...
Visakhapatnam: Nearly 15% of Visakhapatnam's hilly terrain has been identified as highly vulnerable to landslides, with risks concentrated in the Kail.
However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...
@IvanNardi As per our initial discussion: Is your feature request related to a problem? Please describe. Detecting malware and covert communications within encrypted traffic, especially when ...
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