ABSTRACT: Water availability in sub-Saharan Africa is increasingly threatened by rapid land use and land cover (LULC) changes, particularly within ecologically sensitive areas which are potential ...

In healthcare and research environments, there's often a need to automatically separate medical images (X-rays, MRIs, CT scans, ultrasounds) from non-medical content (landscapes, objects, people) ...

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...

ABSTRACT: The rapid evolution of land use patterns in Lusaka presents significant challenges for sustainable urban development and resource management. This study employs a time-series analysis of ...

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...

Traditional Thai medicine (TTM) is a popular and increasingly accepted treatment option. In TTM, tongue diagnosis is a highly efficient method for assessing overall health, yet its accuracy can vary ...