PREDICTION OF THE PRIMARY SOURCES OF GIANT CLIPPIR DIAMONDS IN THE NORTH OF YAKUTIA BY THE METHOD OF MINERALOGICAL AND GEOCHEMICAL ANALOGY (METHOD 5E DIAGRAMS) by A. S. Ivanov, V. N. Zinchenko, I. V. Ashchepkov, S. A. Babushkina, O. B. Oleinikov, P. N. Shelkov

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Anomaly detection of adversarial cyber attacks on electric vehicle charging stations by Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal

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A Technique for Retinal Detachment Detection Manipulating YOLOv8 Models by Younis Bashar Younis, Fadwa Al Azzo

“…If untreated, this can cause blindness. To detect the classes of retinal detachment in various images, this paper introduces a novel method employing deep learning techniques involving the YOLOv8 algorithm. …”
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Foreign object detection on coal conveyor belt enhanced by attention mechanism by ZHANG Yang, CHENG Zhiyu, CHEN Yunjiang, ZHANG Jiannan, YUAN Wensheng, ZHANG Hui

“…In order to solve this problem, the network structure of the original YOLOv8 algorithm was optimized and a YOLOv8-CPCA detection method was proposed. The feature extraction ability of the model was significantly improved by introducing the channel prior convolutional attention mechanism (CPCA), and high-precision detection of foreign objects in the harsh environment of coal transportation in power plants was achieved. …”
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Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones by Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner

“…Through meticulous data pre-processing and augmentation strategies, we enhance the model’s ability to generalize across different terrains and mine types, addressing one of the primary challenges in landmine detection. …”
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Surgical treatment of isolated soft tissue gunshot shrapnel injuries by combining primary delayed sutures with platelet-rich autoplasma injections into mine-explosive wounds by S. M. Zavhorodnii, O. I. Kotenko, M. B. Danyliuk, M. A. Kubrak

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Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs by Liying Zhu, Sen Wang, Mingfang Chen, Aiping Shen, Xuangang Li

“…Finally, the issue of inadequate tail data detection is addressed by employing the devised Binary Cross-Entropy Loss Rank Mining method (BCE-LRM) to identify challenging samples. …”
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A Node Influence Based Label Propagation Algorithm for Community Detection in Networks by Yan Xing, Fanrong Meng, Yong Zhou, Mu Zhu, Mengyu Shi, Guibin Sun

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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…As a result of the findings from data mining techniques, it is recommended that police and judicial organizations utilize a combination of data mining and artificial intelligence methods to enhance the detection and identification of thieves, particularly those with varying criminal histories related to theft. …”
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SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching by Keliang Liu, Yantao Xi, Donglin Jing, Xue Zhang, Mingfei Xu

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Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection by Wei Li, Haoran Duan, Qiuzhao Zhang, Jiahui Liang, Wei Duan, Kaikun Zhang, Wenda Wang, Huachao Yang

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Artificial Neural Networks Based Decision Support System for the Detection of Diabetic Retinopathy by Zehra Karapınar Şentürk

“…Artificial Neural Networks (ANN) method has been applied to the problem using Rapid Miner, a data mining tool. …”
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ANALYSIS OF HEALTH STATUS OF WORKERS IN COAL INDUSTRY by M. Platikanova

“…Purpose: Assessment of the health status of working operators in the substations in the coal industry. Material and methods: Prophylactic examinations were carried out on 82 workers responsible for ensuring the security of the power supply in the mines. …”
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Detection and recognition of unsafe behaviors of underground coal miners based on deep learning by GUO Xiaoyuan, ZHU Meiqiang, TIAN Jun, ZHU Beibei

“…To address challenges such as multi-scale variations in underground targets, occlusion of moving objects, and the excessive similarity between targets and the environment, a deep learning-based method was proposed for detecting and recognizing unsafe behaviours of underground coal miners. …”
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Crack Detection and Evolution Law for Rock Mass under SHPB Impact Tests by Xie Beijing, Dihao Ai, Yu Yang

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Ophthalmic corticosteroids-related adverse events: the FDA adverse event reporting system (FAERS) database pharmacovigilance study by Chengzhi Liu, Xinyu Wang, Xusheng Cao

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The Methane Concentration Detector with Anti-poisoning Function by CHAI Da-lin, DING Xi-bo, YU Yang

“…Methane detection for coal mine production safety is of great significance, because large amount of H2S gas underground could cause catalytic sensor poisoned and lost its detection ability. …”
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Spatial Deep Learning Approach to Older Driver Classification by Charles Boateng, Seyedeh Gol Ara Ghoreishi, Kwangsoo Yang, Muhammad Tanveer Jan, Ruth Tappen, Jinwoo Jang, David Newman, Sonia Moshfeghi, Kelley Jackson, Rhian Resnick, Borko Furht, Monica Rosselli, Joshua Conniff

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Research on Detection Technology of Wind Turbine Blade AnomalyBased on Audio Data by HU Kaikai, CHEN Yanan, CHEN Gang, SHU Hui, LI Ziyuan

“…Simulation and practical application results show that this method can identify whether the blade is damaged and whether the cooling fan works, so as to eliminate the interference by the operation of cooling fan on the blade anomaly detection and realize the abnormal detection of blade whistle, so as to form a feasible blade anomaly detection method based on the audio data of wind turbine.…”
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Drill pipe detection and counting based on improved YOLOv11 and Savitzky-Golay by Cheng Cheng, Xiaoyu Cheng, Debo Li, Jiawei Zhang

“…Abstract To achieve automated counting of drill pipes during gas extraction in coal mines, this study proposes an intelligent counting method based on an improved YOLOv11 model and Savitzky-Golay (SG) smoothing. …”
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