APPROACH OF PROCESSING, CLASSIFICATION AND DETECTION OF NEW CLASSES AND ANOMALIES IN HETEROGENIOUS AND DIFFERENT STREAMS OF DATA by R. A. Bagutdinov

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Mining and analysis of dizziness adverse event signals in postoperative analgesia patients based on the FDA adverse event reporting system database by Fengqi Zhou, Haiou He, Jing Gao, Zhen Zhang

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Research status and prospect of UWB radar echo signal processing technology for mine rescue by Xuezhao ZHENG, Chaoyang SUN, Yuan HUANG, Wen DING, Yang MA, Qiang LI, Haowei MOU

“…Ultra-wideband (UWB) radar echo signal processing affects the accurate detection of life signals, which is a key prerequisite for the success of mine rescue operations. …”
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Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

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Study on the resolution capability of borehole transient electromagnetic method by Tao Fan, Hao Wang, Zaibin Liu, Ping Li, Bin Yan, Zhao Zhao, Youxin An, Rui Zhao, Guihong Li, Qiang Liu

“…Abstract Water hazards present a significant challenge in the construction of coal mine tunnels. The borehole transient electromagnetic method (BTEM) is a detection technique that positions both the transmitter and receiver coils within a borehole, effectively reducing the influence of metal structures found within the tunnel. …”
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A novel coal-rock recognition method in coal mining face based on fusing laser point cloud and images by Yang Liu, Lei Si, Zhongbin Wang, Miao Chen, Xin Li, Dong Wei, Jinheng Gu

“…Rapid and accurate recognition of coal and rock is an important prerequisite for safe and efficient coal mining. In this paper, a novel coal-rock recognition method is proposed based on fusing laser point cloud and images, named Multi-Modal Frustum PointNet (MMFP). …”
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Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

“…Current methods, integrating Single Shot Detector with MobileNet and Faster R-CNN, have successfully detected large potholes and long, deep cracks. …”
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Innovative Approach to Detecting Autism Spectrum Disorder Using Explainable Features and Smart Web Application by Mohammad Abu Tareq Rony, Fatama Tuz Johora, Nisrean Thalji, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…This app represents a significant advancement in medical informatics, offering a practical, user-friendly, and innovative solution for early detection and diagnosis.…”
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Research on Damage Detection of Dual-Rotor Synchronous Excitation Mine Screen Beams Based on Strain Mode Difference Vibration Mode Analysis by Xiaohao Li, Yahui Wang, Yang Zhou

“…Based on the characterization of the vibration response of mine screen frame beams with varying degrees of damage at the same location and with the same degree of damage but at different locations, this paper develops a method of strain modal difference vibration pattern analysis and damage feature extraction for the detection of structural damage in beams. …”
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SYSTEM FOR DETECTION AND IDENTIFICATION OF POTENTIALLY EXPLOSIVE OBJECTS IN OPEN AREA by Ivan Pakhnуts, Sofiia Khrustalova, Kirill Khrustalev

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Detection and Localization of False Data Injection Attacks in Smart Grids Applying an Interpretable Fuzzy Genetic Machine Learning/Data Mining Approach by Marian B. Gorzałczany, Filip Rudziński

“…The contribution of this paper also includes a comparative analysis of our approach and 12 alternative methods applied to the same FDIAs’ data. This analysis shows that our approach totally outperforms the alternative approaches in terms of transparency and interpretability of FDIA detection and localization decisions while remaining competitive or superior in terms of the accuracy of generated decisions.…”
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A Damage Detection Approach in the Era of Industry 4.0 Using the Relationship between Circular Economy, Data Mining, and Artificial Intelligence by Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Khaled Ghaedi, Zubaidah Ismail

“…To aid the aim, a range of damage scenarios was generated and the achieved outcomes confirm the feasibility of the developed method in the fault diagnosis procedure. Several data mining techniques were also employed to compare the performance of the developed model. …”
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Automatic Detection for Mining Subsidence Areas Using the CBAM-Enhanced VGG-UNet Model With Long Time Series InSAR Interferograms by Kegui Jiang, Keming Yang, Mengting Gao, Liuguo Zhu, Chuang Jiang

“…The rapid advancements in remote sensing technology and deep learning algorithms have enabled significant breakthroughs in monitoring and accurately identifying mining subsidence. In this article, a novel automatic detection method for mining subsidence is proposed using interferometric synthetic aperture radar (InSAR) wrapped interferograms. …”
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A Rapid Concrete Crack Detection Method Based on Improved YOLOv8 by Yongzhen Wang, Jiacong He

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Visual automatic detection method for hydraulic support loss state at the working face by TENG Daiyu, NAN Bingfei

“…The automatic identification accuracy for support numbers was 98.78%, providing precise support number information for hydraulic support loss state detection. The average detection accuracy of the visual automatic detection method for hydraulic support loss state at the working face was 99.17%, and the single frame image processing time is 36 ms, meeting the real-time and reliability requirements for detecting support loss states in coal mining face AI video monitoring systems.…”
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Adaptive Dynamic Thresholding Method for Fault Detection in Diesel Engine Lubrication Systems by Tingting Wu, Hongliang Song, Hongli Gao, Zongshen Wu, Feifei Han

“…This study leverages the relative advantages of data mining methods and threshold techniques, proposing an adaptive threshold construction method based on dynamic parameter relationship inference. …”
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Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics by Dunskaia Lada, Popova Elena

“…Data mining methods used in machine learning or deep learning allow to take into account complex patterns and nonlinear dependencies in the data. …”
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Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

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A ship type identification method based on modeling AIS data by MOU Fangli, LIU Ying, FAN Zide, DENG Yawen, ZHU Keqing, ZHAO Xinyu

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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…The detection of the operating status of underground belt conveyors in coal mines is the key to the safe operation of belt conveyors. …”
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