A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…To address the above problems, a lightweight personnel detection method YOLOv5-CWG is proposed for underground coal mine based on YOLOv5.Firstly, the coordinate attention mechanism (Coordinate Attention) embedded in the backbone network adaptively adjusts the weights of each channel in the feature map to enhance the expression ability of the features. …”
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Detection method for dangerous behaviors of underground coal mine personnel by ZHANG Xuhui, YU Henghan, DU Yuyang, YANG Wenjuan, ZHAO Yihui, WAN Jicheng, WANG Yanqun, ZHAO Dian, TANG Duwei

“…Detection of dangerous behaviors of personnel in underground mines is a critical aspect of coal mine safety and risk prevention. …”
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Anomaly traffic detection method based on data augmentation and feature mining by AN Yishuai, FU Yu, YU Yihan, LIU Taotao

“…To address the limitations of existing anomaly traffic detection methods, such as insufficient recognition accuracy for minority classes and limited deep feature extraction capabilities, a novel anomaly traffic detection method based on data augmentation and feature mining was proposed. …”
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Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection by Annisa Putri Utami, Anwar Fitrianto, Khairil Anwar Notodiputro

“…Based on the scenario carried out, the outlier detection method using a statistical approach is generally better than the outlier detection method using a data mining-based approach. …”
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Detection of out-of-seam and out-of-scope mining using double filtering method by Chong Wang, Pengzhi Cui, Guodong Song, Zhiming Xu, Jiajun Qin

“…To overcome the limitations of existing detection methods, which are often time-consuming and inaccurate, we propose a novel approach that integrates Kalman and particle dual filtering techniques. …”
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Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application by Ferdi Sönmez, Metin Zontul, Oğuz Kaynar, Hayati Tutar

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Characteristics of spatial detection capability for seismic response and data compensation method in underground mines by Changbin WANG, Anye CAO, Guangyao SI, Bing WANG, Xu YANG, Ning ZHANG, Yang YUE

“…Therefore, this study introduces the Probability-based Magnitude of Completeness (PMC) method in an underground coal mine. PMC method assesses the seismic wave picking capabilities of geophones, explores the spatial characteristics of seismic event detection probability within the seismic network, and proposes a detection probability-based seismic compensation method. …”
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Improved YOLOv8s-based foreign object detection method for mine conveyor belts by LI Runze, GUO Xingge, YANG Fazhan, ZHAO Peipei, XIE Guolong

“…A method for detecting foreign objects on mine conveyor belts based on an improved version of YOLOv8s was proposed. …”
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Obstacle detection in underground mines using multiple LiDARs based on grid method by REN Mingyang, YANG Huilong, LI Jian, SUN Tao, BAI Shuangjun, WANG Lianfa, HE Guangwen

Subjects: “…obstacle detection in underground mines…”
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Leakage Detection Method of Coal Mine Power Supply System Based on 3AC by Shuai Pang, Yanwen Wang, Jiyuan Cao, Tong Ma

“…With the continuous attention to the safety of coal mine power systems, the traditional mine leakage protection method has its limitations; therefore, a leakage detection method based on 3 asymmetric capacitance (3AC) is proposed. …”
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Coal Mine Hidden Disaster Detection Based on Opposing Coils Transient Electromagnetic Method by Jian Xiao, Shili Han, Xianzhe Duan, Pengtao Zhao, Guangjun Shen, Yanshi Xie, Haiyang He, Zixiang Deng, Wei Liu, Yueping Yan

“…Hidden water disasters seriously affect the construction safety of coal mines and the life safety of technicians. In order to find out the spatial distribution of air-filled goaf and water-filled goaf in coal mines, opposing coils transient electromagnetic method (OCTEM) with high detection accuracy, high resolution, high sensitivity to abnormal bodies, and fast detection speed is used to carry out research. …”
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Abnormal sound detection method for coal mine belt conveyors based on convolutional autoencoder by SHEN Long, SHAN Haoran, PEI Wenliang, YANG Guixiang, WANG Yongli

“…To address the issue of insufficient abnormal sound samples for coal mine belt conveyors, which makes it difficult for training models to recognize anomalies, an abnormal sound detection method for coal mine belt conveyors based on Convolutional Autoencoder (CAE) is proposed. …”
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A Foreign Body Detection Method for Coal Mine Belt Based on Improved YOLOv8 by ZHAO Xiaohu, ZHANG Di, XIE Lixun, SUN Weiqing, ZHANG Jingyi, YOU Xingyi

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Research on Active Anti-collision Method of Unmanned Mine Truck Based on Predicted Trajectory by LI Cheng, ZHANG Qian, WANG Bin

“…First, a model-based method is used to predict running trajectory of unmanned mine truck based on on-board sensors. …”
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METHODOLOGY FOR RAPID DETECTION OF ABNORMAL GAS SITUATIONS AT THE EXCAVATION SITES OF MINES by V. V. Kupriyanov

“…It has been established, that the proposed technique, with appropriate modification, is also applicable to identification of soullars in mine workings. Two methods for monitoring gas evolution have been proposed. …”
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Design of intelligent detection method for electricity transmission line equipment defect based on data mining algorithm by Xiang Yin, Ya Zuo, Gaoshan Fu

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Research on the application of “radon measurement-magnetic” method to detect spontaneous combustion technology in small coal mines by Xiangming HU, Haibo HONG, Hao DONG, Baiqian WU, Zichao SUN, Wei WANG, Qian ZHANG

“…In order to accurately detect the location and range of fire source, firstly, The detection mechanism of spontaneous combustion area detection method is studied. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

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Method for counting coal mine drill pipes based on YOLOv11_OBB by ZHENG Ran, ZHANG Fukai, YUAN Guan, ZHANG Yanmei, WANG Shaopu, ZHANG Qiang, ZHAO Shan, WANG Dengke, HUO Zhanqiang, ZHANG Haiyan, HE Heng

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An Analysis of Sentiment: Methods, Applications, and Challenges by Harish Dutt Sharma, Parul Goyal

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