Solar energy shines as a beacon for sustainable development, with rooftop solar
photovoltaic (PV) installations playing a crucial role. This study proposes a novel framework …

Urban areas predominantly consist of complex building structures, which are assembled of
multiple building sections. From very high resolution remote sensing imagery, not only roof …

To overcome the deficiencies in segmenting hot spots from thermal infrared images, such as
difficulty extracting the edge features, low accuracy, and a high missed detection rate, an …

Extracting building footprints from extensive very-high spatial resolution (VHSR) remote
sensing data is crucial for diverse applications, including surveying, urban studies …

Bridge crack detection based on deep learning is a research area of great interest and
difficulty in the field of bridge health detection. This study aimed to investigate the …

Instance segmentation has been widely applied in building extraction from remote sensing
imagery in recent years, and accurate instance segmentation results are crucial for urban …

The intelligent damage detection of catenary insulators is one of the key steps in maintaining
the safe and stable operation of railway traction power supply systems. However, traditional …

Diabetes is a chronic disease that affects people all over the world and raises the glucose
level in the blood as a result of a lack of insulin. Diabetic Retinopathy causes retinal eye …

This study aims to create learning media for 3D geometric shapes and colors for early
childhood. Early childhood can enter 3D objects into the device. Then, the device will …

The research on the distribution of rural buildings is one of the fundamental works of urban–
rural development in Vietnam. Adopting a Mask R-CNN deep learning framework and …