Application research of OT technology combined with UAV LiDAR in surface subsidence monitoring in mining area by GAO Kuiying, DU Weibing, CHEN Jianhua, YANG Bin, ZHANG Hebing, XU Zhao, FENG Zhizhong, ZHANG Wenzhi

“…ObjectivesIn order to give full play to the application value of remote sensing monitoring at different scale in identifying surface deformation of high-intensity coal mining，Methodssatellite image offset tracking and UAV LiDAR （Light Detection and Ranging） technology are used to obtain two typical subsidence areas and their parameters of the working face scale. …”
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Integrating Fuzzy C-Means and DBSCAN: A Hybrid Approach to Medical Data Mining by Vikas Kaduskar, Anurag Srivastava, Saif O. Husain, Manish Gupta, Vinod Patil

“…Medical data mining is crucial to gain meaningful insights from complex healthcare databases. …”
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Displacement Patterns and Predictive Modeling of Slopes in the Bayan Obo Open-Pit Iron Mine by Penghai Zhang, Yang Li, Xin Dong, Tianhong Yang, Honglei Liu

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Hyperspectral Investigation of an Abandoned Waste Mining Site: The Case of Sidi Bou Azzouz (Morocco) by Daniela Guglietta, Roberto Salzano, Amina Wafik, Aida M. Conte, Matteo Paciucci, Rosalda Punturo, Rosamaria Salvatori, Giorgio S. Senesi, Carmela Vaccaro

“…This study investigates the potential of hyperspectral satellite imagery to detect and map CRMs in mining residues of the abandoned Sidi Bou Azzouz mine in Morocco. …”
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Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

“…Results showed that the proposed recognition method of the shovel loading cycle process exhibited real-time performance and high accuracy in understanding the different work tasks, providing effective data support for mining and the analysis of shovel working parameters, helping to improve the energy efficiency of electric mining shovel.…”
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Data Cleaning Model of Mine Wind Speed Sensor Based on LOF-GMM and SGAIN by Jingfeng Ni, Shengya Yang, Yujiao Liu

“…The results show that the proposed method can effectively detect abnormal wind speed sensor data and identify ventilation system fault information. …”
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A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…According to some reports, there is heavy loss of life and money due to the occasional accidents in the coal mining area. Some existing researchers has been addressed this issue and approached their method. …”
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Multitemporal Spatial Analysis for Monitoring and Classification of Coal Mining and Reclamation Using Satellite Imagery by Koni D. Prasetya, Fuan Tsai

“…This phenomenon was mainly affected by the massive increase in coal mining areas by over 40% in 2019. The proposed method provides a practical solution for detecting and monitoring open-pit coal mines while leveraging freely available data for consistent long-term observation. …”
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A new three-dimensional mesh modeling method for geological bodies containing complex faults in geological engineering by Wenli Gao, Xinming Lu, Shengzhe Hou, Tianyu Zhang, Wenting Liu

“…A quantitative and qualitative comparison between the proposed modeling method and various modeling methods demonstrates that our method is superior in flexibility, robustness, and mesh quality.…”
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Signal Mining and Analysis of Drug-Induced Myelosuppression: A Real-World Study From FAERS by Kaiyue Xia MM, Shupeng Chen MD, Yingjian Zeng MD, Nana Tang MD, Meiling Zhang MD

“…However, early identification of DIM remains challenging, as many associated drugs do not explicitly list this risk, complicating clinical monitoring. Methods This study utilized the FDA Adverse Event Reporting System (FAERS) database to perform signal mining and assess the risks of DIM. …”
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Personalized insights into liver disease management: a text mining analysis of online consultation data by Kun Xiang, Danxi Shi

“…This study applies an integrated text mining framework to extract insights from this data, aiming to inform liver disease research and care strategies.MethodsWe analyzed 8,149 liver disease-related online consultation records from a leading Chinese health platform. …”
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A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

“…In order to preserve lives, early detection regarding such disease is essential. One of the quickest, practical, and affordable methods of disease detection is Data Mining DM, an artificial intelligence AI technology. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…The framework employs a list of techniques including load-level detection, home vacancy detection, and weather-sensitivity analysis and statistical methods to provide detailed insights into building energy dynamics. …”
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Research on Effects of Blast Casting Vibration and Vibration Absorption of Presplitting Blasting in Open Cast Mine by Li Ma, Kemin Li, Shuangshuang Xiao, Xiaohua Ding, Sydney Chinyanta

“…The impact energy produced by blast casting is able to break and cast rocks, yet the strong vibration effects caused at the same time would threaten the safety of mines. Based on the theory of Janbu’s Limit Equilibrium Method (LEM), pseudo-static method has been incorporated to analyze the influence of dynamic loads of blasting on slope stability. …”
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RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining by Yan Guo, Jie Wu, Shilin Zhao, Fei Ye, Yinghao Su, Travis Clark, Quanhu Sheng, Brian Lehmann, Xiao-ou Shu, Qiuyin Cai

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Scientometric analysis of metadata of articles on the topic "Yoga" by K.V. Tartynova

“…The conducted analysis combines network analysis methods, namely, building a co‐authorship network using the Gephi program, and text analytics in the Orange Data Mining program. …”
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Research on coal mine pressure characteristics based on all-fiber optic micro-seismic monitoring by Shuo Wang, Kangdong Wang, Zhigen Zhao, Yuanyuan Miao, Tianyu Cai

“…This technology enhances both the sensitivity and frequency response range of micro-seismic monitoring, enabling effective real-time monitoring of pressure-related activities in coal mines. Taking the II1012 working face of Taoyuan Coal Mine as the engineering background, the all-fiber optic micro-seismic monitoring work is carried out, and the data are analyzed by the methods of micro-seismic event detection, identification, classification and location. …”
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Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data by Bin Yang, Weibing Du, Youfeng Zou, Hebing Zhang, Huabin Chai, Wei Wang, Xiangyang Song, Wenzhi Zhang

“…The method can be used to fuse SAR and UAV Light Detection and Ranging (LiDAR) data for ground subsidence parameter inversion. …”
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Improvement of point cloud feature extraction and alignment algorithms and lidar slam in coal mine underground by Guanghui XUE, Zhenghao ZHANG, Guiyi ZHANG, Ruixue LI

“…The addition of the Scan Context global descriptor loop factor enhances loop detection accuracy for consistent global mapping. Experimental testing on the M2DGR public dataset and SLAM experiments in simulated coal mine scenarios demonstrate the effectiveness of the improved algorithm in feature extraction and registration of the point clouds. …”
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Socially inclusive valorization of gold mill tailings from the small-scale gold mining sector by R.M. Balanay, R.P. Varela, A. Balbin, M.A. Lavapiez

“…This study aims to analyze the properties of the gold mill tailings, investigate their potential for reutilization, and identify areas that need improvement in order to promote an inclusive approach towards the valorization of mine waste.METHODS: The samples were collected randomly from a small- scale gold mill tailings storage facility. …”
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