The recent disaster of COVID-19 has brought the whole world to the verge of devastation
because of its highly transmissible nature. In this pandemic, radiographic imaging …

While analyzing scanned documents, handwritten text can overlap with printed text. This
overlap causes difficulties during the optical character recognition (OCR) and digitization …

Particularly in recent years, there has been increased interest in determining the ideal
thresholding for picture segmentation. The best thresholding values are found using various …

Simple Summary Colorectal carcinoma is characterized by intratumoral heterogeneity that
can be assessed by radiogenomics. Radiomics, high-throughput quantitative data extracted …

Inter-robot communication and high computational power are challenging issues for
deploying indoor mobile robot applications with sensor data processing. Thus, this paper …

This paper presents an automatic system for the quality control of metallic components using
a photometric stereo-based sensor and a customized semantic segmentation network. This …

Radio environment maps depict the coverage area of cellular networks. They are usually
estimated by interpolating sparse measurements gathered in test drives. Typical estimation …

The diagnosis of different types of cancer, including oral cavity-derived cancer, is made by a
pathologist through complex and time-consuming microscopic analysis of tissue samples …

Subsurface stratigraphic modeling is crucial for a variety of environmental, societal, and
economic challenges. However, the need for specific sedimentological skills in sediment …

Oil spills pose a significant threat to the marine ecological environment. The intelligent
interpretation of synthetic aperture radar (SAR) remote sensing images serves as a crucial …