Project Overview This project implements a text classification model using BERT (Bidirectional Encoder Representations from Transformers) pre-trained model to classify emotions. The model is built ...

Abstract Objectives This study aims to examine the associations of daily step count with all-cause mortality and incident cardiovascular disease (CVD) by sedentary time levels and to determine if the ...

The genetic basis of inbreeding depression and of the related phenomenon, heterosis, has been a puzzle for many decades. Based on recent studies in many species, the authors argue that both ...

OpenUrl Abstract/FREE Full Text Google Scholar ↵ Collins NJ , Barton CJ , van Middelkoop M , et al . 2018 consensus statement on exercise therapy and physical interventions (orthoses, taping and ...

Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a limited ...

The relentless progression of advanced technologies has driven the seamless integration of Internet of Things (IoT) services into the fundamental framework of contemporary tourism enterprises. In the ...

An Improvement Study on TextCNN Integrated with Dilated Convolution and Attention Mechanism for Text Classification This project is an improvement based on the cnn-text-classification-tf repository.