AI & Data Analytics

Recent advancements in the field of two-dimensional materials have brought the spotlight onto MXenes, a class of inorganic metal carbides, nitrides, and carbonitrides, which are emerging as pivotal players in energy storage and conversion technologie

In a significant advancement for the coal mining industry, researchers have unveiled a comprehensive review highlighting the construction and reasoning methods for knowledge graphs tailored specifically for this sector. Led by Luo Xiangyu from the Co

Recent research published in ‘Meitan xuebao’, or the Journal of Coal Science and Engineering, sheds light on a critical aspect of coal mining safety: the control of gas expansion energy during coal and gas outbursts. This study, led by Jingyu Jiang f

In the demanding environment of coal mining, where visibility is often compromised by dust, moisture, and inadequate lighting, the need for clear and reliable imagery is paramount. A groundbreaking study led by Jian Cheng from the China Coal Research

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