IEEE

Wavelet-Based Bayesian Random Forest Classifier for High-Voltage Insulator Pollution Severity Detection: A Hybrid Approach

Abstract: The reliability of high-voltage insulators in power transmission systems is often compromised by pollution-induced flashovers, especially in coastal and industrial regions. Traditional ...
Frontiers

Classification of tobacco leaf diseases based on multi-source remote sensing data

Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...
Scientific Research Publishing

Amini, S., Saber, M., Rabiei-Dastjerdi, H. and Homayouni, S. (2022) Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series ...

ABSTRACT: This research aims to explore changes in Land Use and Land Cover (LULC) and how LULC have an influence on the Land Surface Temperature (LST) in Rupandehi district. Multiple Landsat imagery ...
IEEE

A Hybrid PSO-Random Forest Framework for Real-Time Vehicle Classification Using Roadside LiDAR

Abstract: Intelligent transportation systems are increasingly reliant on precise and efficient vehicle classification to support traffic management, safety applications, and infrastructure planning.