Deep neural networks (DNNs) achieve state-of-the-art performance in many areas, including
computer vision, system configuration, and question-answering. However, DNNs are …

Background: Software Package Registries (SPRs) are an integral part of the software supply
chain. These collaborative platforms unite contributors, users, and code for streamlined …

Real-time remote sensing segmentation technology is crucial for unmanned aerial vehicles
(UAVs) in battlefield surveillance, land characterization observation, earthquake disaster …

Context Many engineering organizations are reimplementing and extending deep neural
networks from the research community. We describe this process as deep learning model …

The development and training of deep learning models have become increasingly costly
and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for …

Machine learning (ML)-based software systems are rapidly gaining adoption across various
domains, making it increasingly essential to ensure they perform as intended. This report …

Recent advancements in model pruning have focused on developing new algorithms and
improving upon benchmarks. However, the practical application of these algorithms across …

This paper undertakes the task of replicating the MaskFormer model a universal image
segmentation model originally developed using the PyTorch framework, within the …

The fourth industrial revolution is marked by the significance of artificial intelligence (AI),
particularly the remarkable progress in deep neural networks (DNNs). These networks have …

Artificial Intelligence (AI) enabled systems are becoming capable and widespread. The use
of AI in critical system functions warrants a review of existing test and evaluation (T&E) tools …