In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …

The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …

Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote
server helps improve battery life and can help reduce resource requirements. Deep learning …

Planetary surfaces are a primary focus of space exploration. Some of the most challenging
current efforts in planetary exploration relate to the search for life, or biosignatures, in these …

Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements
in sensor capabilities and computational abilities, allowing for efficient autonomous …

In the evolving field of Explainable AI (XAI), interpreting the decisions of deep neural
networks (DNNs) in computer vision tasks is an important process. While pixel-based XAI …

In this paper, we study and analyze the performance of various loss functions on a recently
proposed real-time instance segmentation algorithm, YOLACT++. In particular, we study the …

Recent transformers-based systems are advancing image captioning applications. However,
those works have been mainly applied to English-based image captioning problems. In this …

Computational Offloading is a revolutionary technology for enhancing mobile devices'
performance. Computation offloading solves resource limitations of mobile devices by …

Recent advances in computer vision yield emerging novel applications for cameraequipped
unmanned aerial vehicles such as object detection. The accuracy of the existing object …