Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
KRDO

‘Richards Rubbish Roundup’ leading by example for ‘Random Acts of Kindness’ day

COLORADO SPRINGS, Colo. (KRDO) - For the volunteers with Richards Rubbish Roundup, their cleanup on Tuesday afternoon is anything but random. "Some of them, their favorite thing to do, is see how many ...
IEEE

Improved Accuracy in Detection of Driver Drowsiness Using Novel Random Forest Classifier Compared with Decision Tree Classifier

Abstract: The goal of this study is to evaluate how well driver drowsiness can be detected using two different machine learning methods: the Decision Tree Classifier and the Novel Random Forest ...
GitHub

Random Forest binary classifier predict_proba method

Thank you for this wonderful repo! I'm currently using emlearn to run a Random Forest classifier. I noticed that the generated code uses if-else conditions and return <class> statements to perform ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Scientific Research Publishing

Remote Sensing Prospecting Method Based on Random Forest in Eastern Botswana Mining Area ()

In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...
Frontiers

Random forest grid fault prediction based on genetic algorithm optimization

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...