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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VOLUMETRIC AND SPATIAL SEGMENTATION OF THE TIEN SHAN LITHOSPHERE ACCORDING TO GEOPHYSICAL DATA by A. K. Rybin, E. A. Bataleva, K. S. Nepeina, V. E. Matyukov

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The genesis and age of karst caves in Xinglong National Geopark, Hebei Province by ZHANG Haoyue, JIANG Qunou, ZHANG Xujiao, WANG Shan

“…This study aims to investigate the genesis and chronology of the Xinglong Karst Cave in the Taojiatai area of Hebei Province, elucidating the controlling factors and temporal constraints of cave development.   Methods  A comprehensive investigation of cave morphology, stratigraphic attitude, and tectonic characteristics was conducted, supplemented by mineralogical analysis using X-ray diffraction and geochemical element analysis. …”
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Transient stability improvement of a transmission system through the application of an artificial neural network-based high-voltage direct current system by Chibuike Peter Ohanu, Uche C Ogbuefi, Emenike Ejiogu

“…Implementing the ANN-based HVDC system, three-phase faults are cleared within 2 ms, demonstrating a significant improvement compared to the 3-ms critical clearing time achieved using conventional method. …”
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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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Optimization of the Ground Motion Intensity Measure for Long-Span Suspension Bridges Considering the Impulse Effect by Junda Su, Qinghui Lai, Jinjun Hu, Longjun Xu, Lili Xie, Yulin Zou

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Leveraging Variable Frequency Drive Data for Nondestructive Testing and Predictive Maintenance in Industrial Systems by Carl Lee Tolbert

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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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Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures by Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Tomasz Perzyński, Viktor Vasylenko, Victoria Vysotska

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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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Progress in digital and intelligent technologies for complex giant systems in green coal development by Guofa WANG, Jianzhong ZHANG, Zaibin LIU, Yihui PANG, Tong WANG, Cong SANG

“…We have proposed intelligent control methods for mining systems under the intelligent logic model framework, intelligent mining complex scene comprehensive mining equipment group posture recognition methods, global optimal planning strategies and collaborative control methods, equipment health status recognition and fault diagnosis methods; Interpreting the concept of “transparent geology”, proposing a path for transparent geological security technology, developing geological transparency technologies such as fine geophysical exploration and drilling, dynamic monitoring of surrounding rock conditions, multi-source high-precision data collection, multi-source heterogeneous data fusion and interpretation, innovating geological digitalization technologies such as static geological modeling, dynamic geological modeling, precise geological security of working faces, multi-source geological data interpretation and fusion, multi-attribute dynamic high-precision modeling, synchronous mapping of geological information, mining information modeling, etc., analyzing the application value of “transparent geology” technology in underground resource development geological structure exploration degree, revealing the physical and mechanical properties of coal and rock, “three field” changes, hidden disaster factor prediction, etc; Analyzed green mining technologies, including green sedimentation reduction and water conservation mining technologies, as well as well as collaborative management and ecological restoration technologies above and below the well; Case analysis was conducted around three technologies: intelligent mining, transparent geology, and green mining. …”
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Mechanics and analog modeling of the Huo-Ma-Tu thrust sheet in the southern Junggar Basin fold and thrust belt by YANG Geng, CHEN Zhuxin, LU Xuesong, ZHANG Yuqing

“…Analysis of in-situ formation pressure data suggests that the thrust faults within these overpressure layers can segregate fluid pressure coefficients between the hanging wall and the footwall. (3) Using the geometric deformation characteristics of the Huo-Ma-Tu thrust sheet obtained from seismic profiles and drilling data, a simplified mechanical model is established. …”
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Design of Bluetooth Communication-Based Wireless Battery Management System for Electric Vehicles by Seok-Jin Na, Jae-Uk Sim, Beom-Jun Kim, Do-Hun Kwon, In-Ho Cho

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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…This has been confirmed by the high-yield industrial oil flow obtained from the newly drilled WZ6-1-A3 well. The SVD–K-means algorithm for predicting oil and gas-bearing zones provides a new approach for predicting hydrocarbon-rich areas in complex fault block structures with limited drilling and poor-quality seismic data.…”
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Innovative Approaches for PCB Image Reconstruction: Tailored Datasets, Metrics, and Models by Qianyue Wang

“…The reconstruction of PCB (Printed Circuit Board) images is vital for quality control in electronic manufacturing, enabling fault analysis, reverse engineering, and repair. …”
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An Assessment of the Vulnerability of Tehran’s Farahzad District in A Possible Earthquake by Seyedeh Faezeh Mirhosseini, Akbar Haj Ebrahim Zargar, Sharif Motavef

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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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Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

“…The optimization method on the base of genetic algorithm (GA) is employed to minimize total life cycle costs while maintaining component reliability within acceptable thresholds. …”
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Comparison of helium source characteristics between geothermal water-dissolved type and natural gas-associated type: A case study of Weihe Basin and northern Ordos Basin by ZHANG Jin, ZHANG Fengqi, ZOU Yanrong, REN Xiaoqing, CHEN Hongguo, WANG Pengtao, RU Rong, ZHANG Wen

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