Can Earthquake Locations Be Improved for Real-time Monitoring? Revisiting the 1995 seismicity at Soufri`ere Hills Volcano, Montserrat by Jade Eyles, Jessica Johnson, Jenni Barclay, Paddy Smith, Victoria Miller

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INTEGRATED APPROACH TO ASSESSING THE SEISMIC HAZARD OF URBAN AREAS IN SOUTHERN PRIANGARIE (CASE OF THE LEFT BANK OF THE ANGARA RIVER IN IRKUTSK) by A. Yu. Eskin, V. I. Dzhurik, S. P. Serebrennikov, E. V. Bryzhak

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Deep Learning for Anomaly Detection in CNC Machine Vibration Data: A RoughLSTM-Based Approach by Rasım Çekik, Abdullah Turan

“…RoughLSTM classifies input data into lower, upper, and boundary regions using an adaptive threshold derived from RST, improving uncertainty handling. The proposed method is evaluated on real-world vibration data from CNC milling machines, achieving a classification accuracy of 94.3%, a false positive rate of 3.7%, and a false negative rate of 2.0%, outperforming conventional LSTM models. …”
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Deep learning for predicting porosity in ultra-deep fractured vuggy reservoirs from the Shunbei oilfield in Tarim Basin, China by Ziyan Deng, Dongsheng Zhou, Hezheng Dong, Xiaowei Huang, Shiping Wei, Zhijiang Kang

“…The study utilizes a three-dimensional seismic dataset and applies Principal Component Analysis (PCA) to select five key features from eight seismic attributes. …”
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Design of Big Data Intelligent Operation and Maintenance Platform for Urban Rail Transit Signaling System by ZHANG Chong, HUANG Mengtao, AI Xin

“…The overall architecture of the platform is introduced, the design scheme of its three sub-platforms: data sharing, data analysis, and data application, is expounded. …”
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A Risk-Informed Design Framework for Functional Safety System Design of Human–Robot Collaboration Applications by Jing Wu, Junru Ren, Ole Ravn, Lazaros Nalpantidis

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Submarine Cable Vibration Signal Recognition Based on Sparrow Search Algorithm Optimized Support Vector Machine by GUO Jiaxing, QIAN Junxia, LIU Rui, MA Hongjuan

“…Firstly, the submarine cable fault signal was decomposed by the ensemble empirical module decomposition (EEMD) method, allowing for extraction of the kurtosis and energy entropy combination of each component as the training feature set, so as to avoid any potential signal distortion caused by direct noise reduction that may affect the extraction of target features. …”
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Influencing factors and distribution characteristics of rock burst under complex geological dynamic environment by Hai RONG, Shilong WEI, Hongwei ZHANG, Linlin CHEN, Nannan LI

“…To study the influencing factors of rock burst in such environments, methods such as theoretical analysis, field monitoring, and geological exploration are employed, with 12240 working face of Gengcun Coal Mine as the research subject. …”
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Cyber threat intelligence for smart grids using knowledge graphs, digital twins, and hybrid machine learning in SCADA networks by Nabeel Al-Qirim, Munir Majdalawieh, Anoud Bani-hani, Hussam Al Hamadi

“…False-Data Injection Attacks (FDIA), Remote-Tripping Command Injection (RTCI), and System Reconfiguration Attacks (SRA) are three types of cyber-attacks on SCADA networks, resulting in single-line-to-ground (SLG) fault, IED-relay failure, and circuit-breaker open issues occur. …”
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Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

“…The morphological properties of geological anomalies in coal seams and the propagation characteristics of guided waves were first thoroughly studied. A three‐dimensional (3D) medium geometry model was developed for a complicated coal seam with Goaf, collapse column, scouring zone, and tiny fault based on COMSOL Multiphysics. …”
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Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

“…The framework’s effectiveness is demonstrated through case studies on three distinct aircraft components: mechanical, avionics, and engine. …”
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基于多重分形谱的转子系统故障诊断与参数优选 by 刘岩, 王金东, 郭建华, 胡清明

“…Because of the robustness of one dimensional time series reconstruction G-P algorithm to extract the fault omen is poor,especially influenced by a sensitive noise in the measured signal.A noise reduction method is proposed based on detrended fluctuat ion analysis（FDA） and kernel principal component analysis（KPCA）,the eigenvalue extraction algorithm based on Mult ifractal spectrum is presented.Through pseudo-phase portrait to determine the weighting factor threshold,optimize and choose parameter and compare with the defects of single G_P algorithm,and combine with the 3 kinds of rotor system common faults,the stability and accuracy of eigenvalue extraction of this method is analyzed,the results prove that,the diagnosis result is good.…”
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Nonlinear Parameters for Monitoring Gear: Comparison Between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity by Mourad Kedadouche, Marc Thomas, Antoine Tahan, Raynald Guilbault

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Optimizing hybrid network topologies in communication networks through irregularity strength by Syed Aqib Abbas Naqvi, Faraha Ashraf, Ali Ovais, Muhammad Waheed Rasheed, Amir Asif, Abdu Alameri

“…Abstract Graph theory has emerged as an influential tool for communication network design and analysis, especially for designing hybrid network topologies for local area networks (LANs). …”
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Using Functional Blocks for Rolling Stock Troubleshooting: Sequential Augmented Reality Assistant (SARA) by Sara Scheffer, Alberto Martinetti, Roy Damgrave, Leo van Dongen

“…To address these challenges, this work leverages AR for troubleshooting rolling stock failures, introducing functional blocks to 1) collect maintenance and fault data, 2) integrate maintenance information based on failure diagnostics and maintenance patterns, and 3) deliver this information to maintenance operators through AR. …”
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Geochemical nature of the geothermal water from Lanzhou Basin: Implications for the genesis of shallow helium-bearing fluids by Jianzhou TANG, Shuangming WANG, Zhicheng ZHANG, Ke LI, Changpeng LI

“…Compositions of the dissolved gas and the geochemical nature of the groundwater jointly suggest that the associated helium in the geothermal water from this well is a product of the radioactive decay of Th-U elements in the basement rocks of the basin. Comprehensive analysis indicates that the upward migration and accumulation of ancient helium-bearing water from the basement into shallow geothermal reservoirs along fault zones under the background of tectonic uplift is the key process for the enrichment of associated helium in geothermal water in the Lanzhou Basin.…”
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Solar PV’s Micro Crack and Hotspots Detection Technique Using NN and SVM by David Prince Winston, Madhu Shobini Murugan, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, O. Jeba Singh, Pravin Murugesan, M. Gurudhachanamoorthy, Eklas Hossain

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Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

“…This model allows for a more precise analysis of the lithology and fault spatial distances. …”
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Study on the Magnitude of Reservoir-Triggered Earthquake Based on Support Vector Machines by Hai Wei, Mingming Wang, Bingyue Song, Xin Wang, Danlei Chen

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Physics‐Informed Deep Learning for Forward and Inverse Modeling of Inplane Crustal Deformation by Tomohisa Okazaki, Kazuro Hirahara, Takeo Ito, Masayuki Kano, Naonori Ueda

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