Specific computational tools assist geologists in identifying and sorting lithologies in well
surveys and reducing operational costs and practical working time. This allows for the …

Artificial intelligence promotes the development of mineral/rock automatic recognition
technology to reduce labor costs and reliance on personal experience. With instrument …

Ever increasing demand for water resources for different purposes makes it essential to
have better understanding and knowledge about water resources. As known, groundwater …

Due to the complexity of predicting future earthquakes, machine learning algorithms have
been used by several researchers to increase the Accuracy of the forecast. However, the …

矿物智能识别是地球科学与信息科学的重要交叉方向, 显示出强大的生命力.
本文在调研国内外研究动态的基础上, 把矿物智能识别划分为4 个阶段, 即矿物采集, 数据获取 …

The accumulation of toxic heavy metal ions continues to be a global concern due to their
adverse effects on the health of human beings and animals. Adsorption technology has …

A machine learning based image processing workflow is presented to enhance shale
source rock microscopic images obtained using diverse imaging platforms. Images were …

Aeolian desertification has become one of the most serious environmental and
socioeconomic problems facing the world today. Quantitative remote sensing technology is …

Cellular automata (CA) models are used to analyze and simulate the global phenomenon of
urban growth. However, these models are characterized by ignoring spatially …

During exploitation of metal mines, the delineation of orebody boundary is of great
importance to control the dilution rate, ensure the mining efficiency and improve the …