IEEE

Facilitating Seamless Communication through Voice-Enhanced Sign Language and Gesture Recognition with Random Forest Classifier and Graph Convolution Networks

Abstract: An innovative system designed to enhance communication for individuals using sign language. Developed in Python, the system leverages a Random Forest classifier to accurately interpret hand ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
IEEE

Android Malware Detection Using API Calls and Permissions with Random Forest Classifier

Abstract: Android malware poses a persistent and evolving threat to mobile security, considering its capability to compromise sensitive user data and evade traditional detection methods. While ...
Frontiers

Metaheuristic-based gallstone classification using rotational forest explained with SHAP

1 Electronics and Communication Engineering Discipline, Khulna University, Khulna, Bangladesh 2 Centre for Wireless Technology, CoE for Intelligent Network, Faculty of Artificial Intelligence and ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...