IEEE

Deep Learning – Driven Sepsis Risk Forecasting with Composer –CNN – LSTM Integration

This study proposes a novel deep learning-based sepsis prediction framework, COMPOSER, which combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) units for more effective ...
IEEE

Deep Learning-based Student Engagement Detection using CNN, Mobile Net, ResNet50, VGG16

Abstract: In large classrooms, tutors or student-driven learning systems may manage or summarize what is happening more easily via the detection and measurement of student attention. Today, numerous ...