Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

This repository provides an Android application for classifying traffic signs using a pre-trained Convolutional Neural Network (CNN) model. The app is designed for real-time traffic sign recognition ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Still not sure why TensorFlow is everywhere? Learn what makes it a top choice for AI projects. #TensorFlow #AIFramework #DeepLearning #TensorFlow #MachineLearning #DeepLearning #AI ...

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...

Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

Abstract: Classification of birds is of significant importance when it comes to assessment of biological diversity, or the identification of ecosystems that are most threatened. The conventional ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...