Detection of water-rich areas and seepage channels via the transient electromagnetic method, electrical resistivity tomography, and self-potential method by Peng Wang, Fan Li, Kai Lu, Wei Huang

“…This study highlights the efficacy of geoelectric methods in detecting water-rich zones and infiltration pathways in complex hydrogeological settings.…”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Addressing the challenges of limited accuracy in anomaly detection within comprehensive environmental monitoring of industrial and mining enterprises, and the constraints posed by singular data modalities, this study proposes an integration of a multimodal Long Short-Term Memory (LSTM) model with the Contrastive Language-Image Pretraining (CLIP) model. …”
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A fuzzy method for improving the functionality of search engines based on user's web interactions by Farzaneh Kabirbeyk, Ali Harounabadi, Mostafa Sabzekar

“…Web mining has been widely used to discover knowledge from various sources in the web. …”
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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…However, there are several challenges that need to be addressed, such as the limited number of samples in the cmopd dataset, poor lighting conditions in underground images, overlapping and occlusion between operating cmopd, varying sitting postures of miners, difficulty in detecting small cmopd targets, complex model deployment, and low efficiency of traditional recognition methods for cmopd with different passenger-carrying statuses.To overcome these challenges, a cmopd dataset was created from various coal mines in Guizhou province. …”
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The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review by Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka, Renata Pilarczyk, Piotr Sablik

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CYTOLOGICAL ASSESSMENT OF CHANGES IN THE BRONCHIAL EPITHELIUM IN MINING MINING DEALS IN MAN-GENERAL DISASTERS by Олег Иванович Бондарев, Мария Сергеевна Бугаева, Игорь Валентинович Майбородин, Галина Анатольевна Лапий, Анастасия Сергеевна Казицкая

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Improving Performance of the Convolutional Neural Networks for Electricity Theft Detection by using Cheetah Optimization Algorithm by Hassan Ghaedi, Seyed Reza Kamel Tabbakh, Reza Ghaemi

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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

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Fast Islanding Detection for Distribution System including PV using Multi-Model Decision Tree Algorithm by Rasool Ebrahimi, Ghazanfar Shahgholian, Bahador Fani

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A Detection Method for Open–Close States of High-Voltage Disconnector in Smoky Environments by Lujia Wang, Yifan Chen, Jianghao Qi, Kai Zhou, Zhijie He, Lei Jin

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Laser-based material flow detection method for belt conveyors using Akima interpolation by LIU Yi, LIU Yi, SUN Jing, ZHAO Zixian

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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

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Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project by E. Kouzeli, K. Nikolakopoulos, O. Sykioti, S. Asadzadeh, F. Koerting, D. Schläpfer

“…During the last decades, the traditional, cost-effective, and time-consuming field methods are replaced by remote sensing (RS), which is based on multispectral and hyperspectral data for mining monitoring. …”
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An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

“…This article proposes a foreign object detection method for coal conveyor belts based on EfficientNetv2. …”
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An Unsupervised Fake News Detection Framework Based on Structural Contrastive Learning by Yajie Guo, Shujuan Ji, Xianwen Fang, Dickson K. W. Chiu, Ning Cao, Hofung Leung

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A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition by Tongkai Gu, Haiyan Zhao, Yasheng Chang, Sitong Yan, Feihan Cao, Wei Liu

“…Abstract Coal gangue recognition presents significant challenges in the mining industry due to its inefficient and costly traditional treatment methods. …”
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Geoelectric Monitoring of Earthen Hydraulic Structure State by Resistivity and Induced Polarization Methods: Mine Water Settling Pond Dam Case Study by Fedorova Olga, Gorshkov Vitaliy

“…Condition monitoring of earth hydraulic structures can be executed by geophysical methods. The article presents the results of geoelectric monitoring conducted on the dam of settling pond of mine water with high metal content. …”
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Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach by Yadong Li, Hui Yan, Dan Li, Hongdong Wang

“…To address the issue of low detection accuracy caused by low illumination and occlusion in underground coal mines, this study proposes an innovative miner detection method. …”
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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

“…Aiming at the problem that the performance of intelligent detection models was limited by the representation ability of original data (features), a residual network structure ResNet-32 was designed to automatically mine the intricate association relationship between original features, so as to actively learn the high-level abstract features with rich semantic information.Low-level features were more transaction content descriptive, although their distinguishing ability was weaker than that of the high-level features.How to integrate them together to obtain complementary advantages was the key to improve the detection performance.Therefore, multi feature fusion methods were proposed to bridge the gap between the two kinds of features.Moreover, these fusion methods can automatically remove the noise and redundant information from the integrated features and further absorb the cross information, to acquire the most distinctive features.Finally, block-chain abnormal transaction detection model (BATDet) was proposed based on the above presented methods, and its effectiveness in the abnormal transaction detection is verified.…”
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SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…Experimental results demonstrate that the fully trained SFD-YOLO model achieves an mAP50 accuracy of 92.00% while maintaining high efficiency, significantly outperforming other advanced methods. Applying the SFD-YOLO model to interferograms across China detected a total of 3,842 subsidence funnels, with Shanxi, Inner Mongolia, Shaanxi, and Anhui identified as the four provinces with the highest funnel number. …”
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