A Cleaner Mining Method for Waste Tailings as Paste Materials to Goafs by Yuxi Liu, Zhixiang Liu, Keming Li, Sijia Deng, Longjun Dong

“…Underground mining is the primary method to obtain economically valuable minerals, but it usually brings a large number of goafs (mined-out voids) and large quantities of waste tailings. …”
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An edge awareness-enhanced visual SLAM method for underground coal mines by Qi MU, Xin LIANG, Yuanjie GUO, Yuhao WANG, Zhanli LI

“…Research on visual SLAM methods tailored for feature degradation scenes in underground coal mines holds great significance for advancing the roboticization of mobile equipment used in coal mines.…”
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Application and validation of the surface-to-underground transient electromagnetic method for detecting deep water-rich area affected by shallow aquifers: a case study of the Ningdong mining area by Maofei Li, Zhonghao Dou, Zhihai Jiang, Juan Yu, Luping Xiao

“…Therefore, SUTEM can serve as a method for the detection of deep water-rich area in coal mines under similar geological conditions.…”
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Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model by Hongdong Fan, Jialin Xin, Tao Lin, Jun Wang

“…Validation experiments utilizing Sentinel-1, ALOS-2, and LT-1 satellite data demonstrated that: 1) RAUNet enables precise detection of subsidence zones followed by calculation applied exclusively to the interferogram tiles within those zones, significantly improving data-processing efficiency and more intuitively revealing surface deformation in mining areas; 2) RAUNet can adapt to the differences between C-band and L-band data, yielding superior accuracy compared with traditional methods across multiple interferometric pairs. …”
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Domain Knowledge-Enhanced Process Mining for Anomaly Detection in Commercial Bank Business Processes by Yanying Li, Zaiwen Ni, Binqing Xiao

“…The empirical results demonstrate that the E-Heuristic Miner significantly outperforms traditional machine learning methods and process mining algorithms in process anomaly detection. …”
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Thyroid nodule detection and influencing factors in male coal mine workers in Shanxi Province by Mengtian XIONG, Yingjun CHEN, Yingtong CHEN, Zeyuan ZHANG, Qiang LI, Gaisheng LIU, Liuquan JIANG, Qingsong CHEN

“…The prevalence of this disease needs to be taken seriously and targeted measures should be taken to address its influencing factors.ObjectiveTo analyze the detection and influencing factors of thyroid nodules among adult male workers in coal mining enterprises in Shanxi Province, and provide a theoretical basis for the prevention of thyroid nodules.MethodsA total of 5195 adult male workers from coal mining enterprises who ordered physical examination provided by the Xishan Coal Electricity (Group) Corporation Occupational Disease Prevention and Control Institute in Taiyuan City, Shanxi Province from May 2023 to December 2023 were selected as research subjects. …”
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Detection and Theoretical Numerical Simulation of the Failure Depth of the Bottom Plate in Belt Pressure Mining by Xipeng Cui, Shuancheng Gu, Jinhua Li, Jiahao Wen, Kailei Zhao, Xinlei Liu

“…By using “ultrasonic detection method + stress monitoring inverse analysis method,” the measured data such as disturbance failure depth and distribution law of large mining width working face were obtained. …”
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Research on the detection of obstacles in front of unmanned vehicles in opencast mines based on binocular vision by Shunling RUAN, Huiguo ZHANG, Qinghua GU, Caiwu LU, Di LIU, Jing MAO

“…Aiming at the current stage of obstacle detection in open pit mines, most of which are in the two-dimensional stage, and can only recognize the target obstacles, but lack of measurement of the depth information of the obstacles, and can not make a correct decision on the obstacles in front of them; this paper is based on the binocular camera, and provides the support of the depth data of the obstacles in front of the unmanned vehicle by the method of binocular vision depth detection. …”
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Flood Detection in Complex Surface Mining Areas Using Satellite Data for Sustainable Management by Konstantinos Karalidis, Georgios Louloudis, Christos Roumpos, Eleni Mertiri, Francis Pavloudakis

“…In this research, the change detection method is applied using Synthetic Aperture Radar (SAR), and flood-prone zones are delineated.…”
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Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks by Joseph Azar, Mohammed Al Saleh, Raphaël Couturier, Hassan Noura

“…This work proposes an anomaly detection method for high-dimensional sequences based on a bidirectional LSTM autoencoder. …”
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Application of Electrical Resistivity Tomography (ERT) in Detecting Abandoned Mining Tunnels Along Expressway by Mengyu Sun, Jian Ou, Tongsheng Li, Chuanghua Cao, Rong Liu

“…The findings not only serve as a reference for the subsequent remediation of the goaf area but also offer new insights into the detection of abandoned mining tunnels.…”
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Enhancing Object Detection in Underground Mines: UCM-Net and Self-Supervised Pre-Training by Faguo Zhou, Junchao Zou, Rong Xue, Miao Yu, Xin Wang, Wenhui Xue, Shuyu Yao

“…Building upon this foundation, we propose UCM-Net, a detection model based on the YOLO architecture. Furthermore, a self-supervised pre-training method is introduced to generate mine-specific pre-trained weights, providing the model with more semantic features. …”
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Fine detection of floor water damage by three-dimensional direct current electric method based on cross-lane observation by Guanqun ZHOU, Hongda ZHAO, Weixin ZHANG, Xiaoping WU, Xikai LIANG, Zongtao WANG, Yafei WANG

“…Mine direct current electric method has become one of the main means of water disaster detection in the floor of working face because of its high sensitivity and strong anti-interference ability in detecting low resistance. …”
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Hard Example Mining Method for Visual Perception Based on Multi-sensor Fusion by Jun LIN, Wenbo PAN, Jun YOU, Yanghan XU

“…Experiments show that hard samples in the mining autopilot scenes can be effectively collected by this method, and be used to improve the performance of object detection through incremental transfer learning signi ficantly. …”
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Mining behavior pattern of mobile malware with convolutional neural network by Xin ZHANG, Weizhong QIANG, Yueming WU, Deqing ZOU, Hai JIN

“…The features extracted by existing malicious Android application detection methods are redundant and too abstract to reflect the behavior patterns of malicious applications in high-level semantics.In order to solve this problem,an interpretable detection method was proposed.Suspicious system call combinations clustering by social network analysis was converted to a single channel image.Convolution neural network was applied to classify Android application.The model trained was used to find the most suspicious system call combinations by convolution layer gradient weight classification activation mapping algorithm,thus mining and understanding malicious application behavior.The experimental results show that the method can correctly discover the behavior patterns of malicious applications on the basis of efficient detection.…”
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An Innovative Analysis of Time Series-Based Detection Models for Improved Cancer Detection in Modern Healthcare Environments by Uma Shankari Srinivasan, Venkat Pavithra, Kaliappan Sutha, Sridevi Ramachandiran, Nallathambi Indumathi

“…Technological advances have enabled researchers to develop more precise and reliable methods of cancer detection that go beyond traditional methods, such as biopsy and imaging. …”
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Integrated geophysical prospecting for deep ore detection in the Yongxin gold mining area, Heilongjiang, China by Yechang Yin, Jun Chen, Zhonghai Zhao, Yuanjiang Yang, Chenglu Li, Haina Li, Xiang Zhao

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Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis by Wenninger Sebastian, Link Daniel, Lames Martin

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Lightweight blasthole image detection and positioning method by Shan PAN, Ting YU, Zhongwen YUE, Zijian TIAN, Qingyu JIN

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Three-component detection technology of down-hole TEM for hidden geological anomalies in coal mines by Xiaowei GAO

“…Both theoretical models and experimental data show that the borehole transient electromagnetic three-component anomaly localization technique is an effective method for detecting geological anomalies around boreholes in coal mines.…”
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