Deep learning applications in manufacturing operations: a review of trends and ways forward
Purpose Deep learning (DL) technologies assist manufacturers to manage their business
operations. This research aims to present state-of-the-art insights on the trends and ways …
operations. This research aims to present state-of-the-art insights on the trends and ways …
Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …
easiness and availability. For the last few years, online searching for required information or …
Multi-class sentiment analysis of urdu text using multilingual BERT
Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …
opinions. However, existing research is solely based on the English language with limited …
TextConvoNet: a convolutional neural network based architecture for text classification
This paper presents, TextConvoNet, a novel Convolutional Neural Network (CNN) based
architecture for binary and multi-class text classification problems. Most of the existing CNN …
architecture for binary and multi-class text classification problems. Most of the existing CNN …
UTSA: Urdu text sentiment analysis using deep learning methods
The Internet has seen substantial growth of regional language data in recent years. It
enables people to express their opinion by incapacitating the language barriers. Urdu is a …
enables people to express their opinion by incapacitating the language barriers. Urdu is a …
Handwritten Urdu characters and digits recognition using transfer learning and augmentation with AlexNet
Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …
significant amount of literature exists for automatic recognition of handwritten characters of …
Abusive language detection from social media comments using conventional machine learning and deep learning approaches
With the increase in the culture of social media and netizen, every day, millions of comments
are posted on the uploaded posts. The use of abusive language in user comments has been …
are posted on the uploaded posts. The use of abusive language in user comments has been …
Machine learning-based text classification comparison: Turkish language context
YI Alzoubi, AE Topcu, AE Erkaya - Applied Sciences, 2023 - mdpi.com
The growth in textual data associated with the increased usage of online services and the
simplicity of having access to these data has resulted in a rise in the number of text …
simplicity of having access to these data has resulted in a rise in the number of text …
Early earthquake detection using batch normalization graph convolutional neural network (bngcnn)
Featured Application Earthquake Detection, Earthquake Early Warning System (EEWS),
Processing of Seismic data. Abstract Earthquake is a major hazard to humans, buildings …
Processing of Seismic data. Abstract Earthquake is a major hazard to humans, buildings …
An early warning system for earthquake prediction from seismic data using batch normalized graph convolutional neural network with attention mechanism …
Earthquakes threaten people, homes, and infrastructure. Early warning systems provide
prior warning of oncoming significant shaking to decrease seismic risk by providing location …
prior warning of oncoming significant shaking to decrease seismic risk by providing location …