Frontiers

Advancing Standardized Cattle Behavior Classification with a Random Forest Model Evaluated Across Diverse Datasets

1 Cornell University Sibley School of Mechanical and Aerospace Engineering, Ithaca, United States 2 Cornell University College of Agriculture and Life Sciences, Ithaca, United States The final, ...
IEEE

Utilizing Random Forests for High-Accuracy Classification in Medical Diagnostics

Abstract: In recent years, medical diagnostics has increasingly relied on machine learning techniques to improve accuracy and efficiency. Among these, the Random Forest algorithm has emerged as a ...
IEEE

CASB Security Analytics for Encrypted SaaS Traffic: A Hybrid Transformer-Based Classification Framework in Enterprise Cloud Ecosystems

Abstract: The proliferation of Software-as-a-Service (SaaS) platforms has fundamentally transformed enterprise operations, creating significant challenges for Cloud Access Security Broker (CASB) ...
Scientific Research Publishing

An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land Cover Classification ()

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...