AI & Data Analytics

In a significant advancement for the mining sector, researchers have unveiled a novel method for enhancing image matching in underground coal mines, addressing the challenges posed by harsh environmental conditions. The study, led by Heping Li from t

In a landscape where energy security is paramount, the coal industry is on the brink of a digital revolution. Recent research led by Haijun Wang from the Research Institute of Mine Artificial Intelligence at the Chinese Institute of Coal Science high

Recent research conducted by SUN Jiping from the School of Artificial Intelligence at the China University of Mining and Technology-Beijing has shed light on the intricacies of wireless transmission in mining environments, a crucial element for the a

In a significant advancement for the mining industry, researchers have developed a predictive model for blast-induced flyrock using cutting-edge artificial intelligence techniques. This research, led by Jalil Hanifehnia from the Islamic Azad Universi

In a significant advancement for coal mine safety, researchers have unveiled a cutting-edge intelligent detection algorithm designed to identify illegal behaviors of miners using overhead passenger devices. This development, spearheaded by Jifeng Lu

In a significant advancement for the field of X-ray fluorescence spectroscopy, researchers have introduced an optimized method for background subtraction that promises to enhance the accuracy of mineral metal sorting in coal analysis. This innovative

Recent advancements in carbon dioxide (CO2) flooding and sequestration technology are paving the way for significant changes in the oil industry, particularly in China. A comprehensive review published in ‘矿业科学学报’ (Journal of Mining Science) highligh

As the energy landscape evolves with the increasing integration of renewable sources, the challenges faced by traditional coal-fired power plants are becoming more pronounced. A recent study led by Yongqing Zhou from the School of Mechanical Engineer

In a significant advancement for the steelmaking industry, researchers have unveiled a new carbon prediction model that leverages advanced off-gas analysis technology in basic oxygen furnaces. This innovation, led by LI Nan from the State Key Laborat

In the ever-evolving landscape of construction and manufacturing, the ability to optimize processes through data analysis is becoming increasingly vital. A recent study published in ‘工程科学学报’ (Journal of Engineering Science) sheds light on the promisi