Abstract Unmanned Aerial Vehicles (UAVs) are utilized instead of humans to complete
aerial assignments in various fields. With the development of computer vision, object …

In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology,
there has been a growing adoption of ship detection models that are based on deep …

The thighbone is the largest bone supporting the lower body. If the thighbone fracture is not
treated in time, it will lead to lifelong inability to walk. Correct diagnosis of thighbone disease …

Due to the different shooting angles, altitudes and scenes, remote sensing images contain
many complex backgrounds and multi-scale objects. Moreover, objects in remote sensing …

The process of drying solute-containing droplets can lead to dynamic redistribution of
solutes. Tracking morphological changes and obtaining drying kinetics will help optimize the …

Millions of cameras at edge are being deployed to power a variety of different deep learning
applications. However, the frames captured by these cameras are not always pristine-they …

In the present study, we present an intelligent earthquake signal detector that provides
added assistance to automate traditional disaster responses. To effectively respond in a …

Lung cancer poses a significant threat, contributing significantly to cancer-related mortality.
Computer-aided detection plays a pivotal role, particularly in the automated identification of …

Achieving precise 6 degrees of freedom (6D) pose estimation of rigid objects from color
images is a critical challenge with wide-ranging applications in robotics and close-contact …

Determining object location information in an image can enable more accurate CNN
classification. Several extended CNN models have been developed to include both object …