The packets are captured with Wireshark and processed using preprocessing methods in Python. Furthermore, a pool of ML algorithms is extensively trained and validated on the practical testbed to ...

ABSTRACT: Accurate canopy height estimation is critical for forest management and carbon monitoring in Zambia’s ecologically diverse landscapes. This study developed a high-resolution canopy height ...

A 12-foot-long python weighing approximately 20 kilograms was rescued by locals of Chandra Village in the Nagarbera Riverine Range under the West Kamrup Division on Friday.

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

Abstract The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning ...

This application leverages machine learning to predict floods using a trained Random Forest model. Users interact with the web app by sending a request with input data, which is processed by the ...

Random Forest (RF) has emerged as a robust and powerful algorithm for processing mass spectrometry data. This machine learning approach offers several advantages, including accommodating nonlinear ...