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 ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
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 ...
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 ...
ML powered system that predicts most suitable crop using ensemble(hard voting) of Decision Tree, Random Forest, and Gradient Boosting models implemented from scratch ...
ABSTRACT: Educational research stands at a crossroads that is both methodological and philosophical. The field must decide whether to remain anchored in a toolkit built for small samples and linear ...
Mike Johnson reacts to Trump's "punishable by death" remark about Democrats US Navy trying to pull crashed aircraft from bottom of South China Sea The Ghislaine Maxwell Emails Zara Larsson fan becomes ...
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
1 Department of Psychology/Research Center of Adolescent Psychology and Behavior, School of Education, Guangzhou University, Guangzhou, Guangdong, China 2 School of Psychology, South China Normal ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results