Mineral image segmentation plays a vital role in the realization of machine vision based
intelligent ore sorting equipment. However, the existing image segmentation methods still …

Remote-sensing image scene classification can provide significant value, ranging from
forest fire monitoring to land-use and land-cover classification. Beginning with the first aerial …

Efficient sorting and optimal utilization have become the common core issues for today's
mining industry. Vision-based sorting technology provides a powerful answer to this …

The integration of image analysis through deep learning (DL) into rock classification
represents a significant leap forward in geological research. While traditional methods …

Petrographic analysis is based on the microscopic description and classification of rocks
and is a crucial technique for sedimentary and diagenetic studies. When compared to hand …

Mineral image classification technology based on machine vision is an efficient system for
ore sorting. With the development of artificial intelligence and computer technology, the …

Petrographic analysis based on microfacies identification in thin sections is widely used in
sedimentary environment interpretation and paleoecological reconstruction. Fossil …

The rapid growth of artificial intelligence (AI) technology and its applications in recent years
has transformed the process of data analytics in many scientific fields, including geoscience …

In addition to the ongoing development, pre-salt carbonate reservoir characterization
remains a challenge, primarily due to inherent geological particularities. These challenges …

Groundwater potential delineation is essential for efficient water resource utilization and
long-term development. The scarcity of potable and irrigation water has become a critical …