Bura, A. and Mung’onya, E. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
Abstract: Synthetic aperture radar (SAR) has unique advantages in ocean monitoring. Ship object detection in multitemporal SAR images has great potentials in various applications. In this study, we ...
Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
Abstract: Cameras and radar sensors are complementary in 3D object detection in that cameras specialize in capturing an object's visual information while radar provides spatial information and ...
Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better. Change point detection is a helpful tool that spots moments when data, such ...
With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...
Abstract: In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse array of ...
Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...
PoroDet is a Python package for the contrast-based detection and analysis of nanoporosities in Fresnel-contrast transmission electron microscopy (TEM) images. It utilizes a U-Net convolutional neural ...
Abstract: Small object detection remains a significant challenge in computer vision, primarily attributed to insufficient feature information and low resolution. This paper introduces SAMYOLO, a novel ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results