Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
webtv.un.org

Forest Pavilion at COP30

The Forest Pavilion at COP30 embodies a shared global commitment to forests as a cornerstone of climate action, biodiversity conservation, and sustainable development. It serves as an inclusive, multi ...
Scientific Research Publishing

Attack Detection and Alarming System on IOT Facilities Using Random Forest Enabled-Correlation Based Clustering (RF-CBC) Technique ()

1 Department of Mathematical and Computer Sciences, Faculty of Science, University of Medical Sciences, Ondo, Nigeria. 2 Department of Computer Science, University of New Haven, West Haven, USA. 3 ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
IEEE

Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...
Frontiers

Enhancing performance prediction of municipal solid waste generation: a strategic management

Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...
IEEE

Detection of Disk Filtration Attacks Using Random Forest (RF) Algorithm Comparing with ML Algorithms for Improving Accuracy

Abstract: The purpose of the research is to compare Random Forest (RF) Algorithm methods to Extra Trees (ET) Classification algorithms for detecting the Disk Filtration attacks in air gapped computers ...