Vision transformer-based methods are advancing the field of medical
arti...
The purpose of the research is to find the numerical solutions to the sy...
Artificial Intelligence (AI)-based models can help in diagnosing COVID-1...
Generative models have been very successful over the years and have rece...
Generative models are becoming popular for the synthesis of medical imag...
Healthcare data are inherently multimodal, including electronic health
r...
Text detection in natural scene images has applications for autonomous
d...
Robust speech emotion recognition relies on the quality of the speech
fe...
Deep learning techniques, particularly convolutional neural networks, ha...
U-Net is a widely adopted neural network in the domain of medical image
...
This review presents a comprehensive study on the role of GANs in addres...
Text detection in natural scene images for content analysis is an intere...
Food resources face severe damages under extraordinary situations of
cat...
Chest X-ray (CXR) is a low-cost medical imaging technique. It is a commo...
Automatic recognition of Urdu handwritten digits and characters, is a
ch...
Approximately, 50 million people in the world are affected by epilepsy. ...
The internet activity records (IARs) of a mobile cellular network posses...
Vehicle speed monitoring and management of highways is the critical prob...
This paper presents a recognition system for handwritten Pashto letters....
Deep learning algorithms produces state-of-the-art results for different...
This paper presents a useful method to achieve classification in satelli...
Mobile networks possess information about the users as well as the netwo...