Results 61 to 70 of about 193 (125)

Failure mechanism of the coal wall at the working face based on an eccentric compression mechanical model

Deep Underground Science and Engineering, Volume 5, Issue 1, Page 127-143, March 2026.
In this study, the nonuniform distribution of the bearing pressure in front of the coal wall has been revealed based on in situ monitoring data and numerical simulation results. Therefore, an eccentric compression mechanical model of the coal wall was established to study the deformation and failure characteristics of a coal wall. The slenderness ratio
Maolin Tian, Jiabao Wang, Changsheng Wang, Shijie Sun, Lijun Han, Qingbin Meng, Sunhao Zhang   +6 more
wiley   +1 more source

Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat's Kinematics

Applied AI Letters, Volume 7, Issue 1, February 2026.
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga, M. Ramashini, Juliana Zaini, R. Müller, Liyanage C. De Silva   +4 more
wiley   +1 more source

Study on Key Controlling Factors of Fracture Propagation by Shaped Charge Blasting in Coal Seams

Energy Science &Engineering, Volume 14, Issue 2, Page 721-736, February 2026.
Gas drainage is the fundamental approach to controlling gas disasters in coal mines. For single low‐permeability coal seams, it should be supplemented by coal seam permeability enhancement technologies to improve gas drainage efficiency. This paper conducted a numerical simulation study on the key controlling factors affecting the fracturing effect of ...
Xin Yang, Yunfei Zuo, Yang Hu, Feiyan Tan, Wenxuan Pan   +4 more
wiley   +1 more source

Accurate identification method of coal and gangue based on geometric feature constraints by DE-XRT

Meitan kexue jishu
The dual energy X-ray transmission identification of coal gangue still faces challenges in thickness, hardening, afterglow, and fan-shaped effects, among which the parameters for 5-150 mm wide thickness coal gangue separation fluctuate significantly and ...
Lei HE, Yongcun GUO, Ya ZHI, Shuang WANG, Deyong LI, Kun HU, Gang CHENG   +6 more
doaj   +1 more source

Research on Coal Gangue Detection and Identification Method Based on Improved YOLOv7

Processes
The sorting of coal gangue is of great significance for improving coal quality, avoiding environmental pollution, and reducing labor costs. The image-based coal gangue sorting method has been proposed by a large number of researchers, but the complexity of the environment, the speed and accuracy of coal gangue detection and recognition methods, and the
Diandong Hou, Yiming Yang, Yan Liu, Guoli Bian, Zhenan Li, Mingchao Du, Lehua Zhao, Peng Zhang, Xizhai Zhang   +8 more
openaire   +1 more source

Research on Gangue Detection Algorithm Based on Cross-Scale Feature Fusion and Dynamic Pruning

Algorithms
The intelligent identification of coal gangue on industrial conveyor belts is a crucial technology for the precise sorting of coal gangue. To address the issues in coal gangue detection algorithms, such as high false negative rates, complex network ...
Haojie Wang, Pingqing Fan, Xipei Ma, Yansong Wang   +3 more
doaj   +1 more source

Electromagnetic wave field response characteristics and precise identification methods of extra-thick top coal with intercalated gangue

Meitan xuebao
In the fully mechanized caving mining of extra-thick coal seams, grasping the variation law of top coal thickness with intercalated gangue in advance is crucial for accurate and efficient coal drawing at the working face.
Kesong FAN, Yaoyu ZHANG, Yuntao LIANG, Shaowei LIU, Deyin HE, Hongliang QIAN, Mingli DONG   +6 more
doaj   +1 more source

Design and application of coal gangue sorting system based on deep learning

Scientific Reports
With the advancement of science and technology, coal-washing plants are transitioning to intelligent, information-based, and professional sorting systems.
Kun Zhang, Zhen Wang, Zengbao Zhang, Zhiyuan Shi, Yuhao Qi, Mingchao Du, Yong Chen, Tijun Liu, Yumeng Chen, Zhuang Yin   +9 more
doaj   +1 more source

Study on emissivity measurement of different types of coal and gangue using the matching method

Gong-kuang zidonghua
The type, surface texture, metamorphic degree, and developmental stage of coal and gangue significantly influence their emissivity. Accurate settings for emissivity parameters are essential for infrared temperature measurements and the identification of ...
ZHANG Jinwang, HE Geng, HAN Xing, ZHANG Jiaming   +3 more
doaj   +1 more source

A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM

Scientific Reports
Accurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional
Wenchao Hao, Haiyan Jiang, Qinghui Song, Qingjun Song, Shirong Sun   +4 more
doaj   +1 more source