Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Deep learning model for multi-label thoracic disease detection from chest X-ray images using ResNet-50 and Grad-CAM visualization on the NIH ChestXray14 dataset.

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...

Abstract: Code smells in a source code shows the weakness of design or implementation. To detect code smells, several detection tools have been developed. However, these tools generally produce ...

I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...

In the published article, there was an error in the Funding statement. The Funding statement was erroneously omitted, and financial support grants should have instead ...

Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...