Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…However, due to the complexity of iron ore composition and properties, traditional detection techniques (such as loss on drying method and resistance method) have shortcomings in sensitivity and accuracy. …”
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Effect of Alkali Source on Crystal Regulation and Ethanol Gas Sensing Properties of Nano-ZnO by Yinying Liao, Lu Qiu, Yunfei Ouyang, Dayang Feng, Shiyi Huang, Zhaoyang Zhang, Xinyao Xie, Junwei Ke, Tianhao Liu, Xiangxiang Chen, Hongshan Bi, Weiran Zuo

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Study on the Safety Thickness of Three Zones against Fault Water Inrush: Case Study and Model Development by Yongqian Wang, Benshui Yang, Jun Zhang

“…The excellent adaptability of the numerical model to the geological conditions makes it an effective research method for simulating waterproof coal pillars. Based on the analysis of the background of on-site mining, this paper proposes a three-zone waterproof coal pillar calculation theory and establishes a numerical model for comparative analysis. …”
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Geochemical characterization of Gubanovskaya intrusion of rapakivi granites (Wiborg massif) by Rogova I. V., Skublov S. G., Berezin A. V., Petrov D. A.

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Influence community search on directed graphs by DU Ming, HU Xinyu, ZHOU Junfeng

“…To further enhance the efficiency of community mining, an index-based influence search method on directed graphs and its optimization strategies were proposed. …”
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Born Approximation Multi-Resolution Imaging for TEM Pseudo Wavefield Based on Differential Pulse by Ya'Nan Fan, Xiu Li, Kailiang Lu, Juanjuan Li, Tianchi Fu, Xiaozhao Li

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Segmentation and particle size analysis of coal particles based on ISUNet by Deqiang CHENG, Rui ZHANG, Tongxi XIE, Jingjing LIU, Lijuan ZHENG, Qiqi KOU, He JIANG

“…The propagation of methane gas in coal is closely linked to the particle size distribution characteristics of coal particles, which in turn affects the safe mining and utilization of coal. With the continuous development of digital image processing technology, coal particle morphology detection based on digital image segmentation has become the mainstream method for obtaining the particle size distribution characteristics of coal particles. …”
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Evaluating shear strength and acoustic emission in rock-like materials with non-persistent joint geometries under freeze-thaw conditions by Sadegh Kefayati, Mosleh Eftekhari, Kamran Goshtasbi, Morteza Ahmadi

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Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications by Paraskevas Tsangaratos, Ioanna Ilia, Nikolaos Spanoudakis, Georgios Karageorgiou, Maria Perraki

“…The main objective of the present study was to develop a real-time mineral classification system designed for multiple detection, which integrates classical computer vision techniques with advanced deep learning algorithms. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…This study demonstrates that aligning the selection of deformation models with different types of prior geological information significantly improves the accuracy of underground goaf detection. The findings offer practical guidelines for selecting optimal models based on varying information scenarios, thereby enhancing the reliability of disaster evaluation and mitigation strategies related to illegal mining.…”
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Condition Repair Technology and System Solutions for Key Components of Urban Rail Vehicles by Kean LIU, Jisheng DAI, Hailong XU

“…Focusing on key components such as traction motors, converters, high-voltage parts, and running parts, a series of multi-information fusion online fault detection and status assessment methods that maximized the use of existing control signals were proposed, as well as prediction technology combined with degradation mechanism models and large data mining component life, and related technology were applied and verified, which could realize active and accurate maintenance of equipment, ensure the safety of urban rail vehicles and improve the economy of maintenance.…”
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Small Object Tracking in LiDAR Point Clouds: Learning the Target-Awareness Prototype and Fine-Grained Search Region by Shengjing Tian, Yinan Han, Xiantong Zhao, Xiuping Liu

“…Current methods predominantly focus on developing universal frameworks for general object categories, often sidelining the persistent difficulties associated with small objects. …”
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Breast Cancer Status in Iran: Statistical Analysis of 3010 Cases between 1998 and 2014 by Mohammad Esmaeil Akbari, Soheila Sayad, Saed Sayad, Maryam Khayamzadeh, Leila Shojaee, Zeynab Shormeji, Mojtaba Amiri

“…We checked the data quality rigorously and removed any invalid values or records. The method was data mining (problem definition, data preparation, data exploration, modeling, evaluation, and deployment). …”
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Stressed Vegetation Identification Under Natural Gas Microleakage From Hyperspectral Images Using Stacked Autoencoder and Multiscale Three-Dimensional Convolutional Neural Network by Kangni Xiong, Jinbao Jiang, Weiwei Ran, Kangning Li, Yingyang Pan, Xinda Wang

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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Despite the prevalence of natural language processing for data mining, the majority of studies did not incorporate ML algorithms in their analyses. …”
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PAYMENT OF ENVIRONMENTAL PAYMENTS: PROBLEMS, PROSPECTS by B. H. Aliyev, M. D. Eldarusheva

“…Innovative approaches. Data mining term is used to indicate the aggregate methods of information detection necessary to make decisions in different spheres of the economy; and it is also the software which allows to optimize and simplify the analysis procedure. …”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

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Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis by Nazmul Ahasan Maruf, Abdullah Basuhail

“…Recent developments in medical imaging and artificial intelligence (AI) have created new opportunities for breast cancer detection and staging. Medical image analysis techniques, including radiomics, machine learning and deep learning, have shown promise for breast cancer detection and stage estimation. …”
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A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing by Mritunjay Ranjan, Sanjay Tiwari, Arif Md Sattar, Nisha S. Tatkar

“…Pragmatics include personality recognition, sarcasm detection, metaphor comprehension, aspect extraction, and polarity detection; semantics include word sense disambiguation, concept extraction, named entity recognition, anaphora resolution, and subjectivity detection.…”
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Ionospheric Phase Scintillation Index Estimation Based on 1 Hz Geodetic GNSS Receiver Measurements by Using Continuous Wavelet Transform by Dongsheng Zhao, Wang Li, Chendong Li, Xu Tang, Qianxin Wang, Craig M. Hancock, Gethin Wyn Roberts, Kefei Zhang

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