Production monitoring and machine tracking in underground mines based on a collision avoidance system: A case study by Artur Skoczylas, Natalia Duda-Mróz, Wioletta Koperska, Paweł Stefaniak, Paweł Śliwiński

“…Finally, the process of implementing the system in the target environment is presented, along with a description of the user interface, which features manager dashboards for production visualization. …”
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The Seismic Dynamic Response Characteristics of the Steep Bedding Rock Slope Are Investigated Using the Hilbert–Huang Transform and Marginal Spectrum Theory by Zhuan Li, Longfei Li, Kun Huang, Lei Xue, Tong Jiang, Jinyu Dong, Chuang Wang, Hao Ding

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Deep Learning Method for Bearing Fault Diagnosis by LIU Xiu, MA Shan-tao, XIE Yi-ning, HE Yong-jun

“…In recent years, deep learning technology has shown great potential in bearing fault diagnosis based on vibration signals.However, in the fault diagnosis method based on deep learning, the traditional single network topology feature extraction has weak discrimination and low noise robustness, and the accuracy of fault diagnosis is not high.In addition, most of the current research methods have a low fault recognition rate in a variable load environment.In response to the above problems, this paper proposes an improved neural network end-to-end fault diagnosis model.The model combines convolutional neural networks (CNN) and the attention long short-term memory (ALSTM) based on the attention mechanism, and uses ALSTM to capture long-distance correlations in time series data , Effectively suppress the high frequency noise in the input signal.At the same time, a multi-scale and attention mechanism is introduced to broaden the range of the convolution kernel to capture high and low frequency features, and highlight the key features of the fault. …”
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SYNTAXIC NOMINATION IN THE POETIC PICTURE OF THE WORLD: VIEW FROM LINGUISTIC AND RHETORIC POSITION by A. Burov, G. Burova

“…Kushner, the authors reveal specificity in the use of predicative names as structural elements that acquire a special semantic load of rhetorical orientation in a poetic text. …”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The results highlight the central role of torso-mounted sensors, particularly in the lumbar region, cervix, and chest, in capturing core movements, while wrist sensors provided useful complementary information, especially for load-related activities. The XGBoost-based model, selected mainly for allowing an in-depth analysis of feature contributions by considerably reducing the complexity of calculations, demonstrated strong performance in HAR. …”
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A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks by Esraa M. Shalby, Almoataz Y. Abdelaziz, Eman S. Ahmed, Basem Abd-Elhamed Rashad

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Environmental Factors in Structural Health Monitoring—Analysis and Removal of Effects from Resonance Frequencies by Rims Janeliukstis, Lasma Ratnika, Liga Gaile, Sandris Rucevskis

“…The novelty lies in two additional steps that supplement this procedure, namely, the nonlinear estimation of the relative effects of various environmental factors, such as temperature, humidity, and ambient loads on the resonant frequencies, and the selection of the most informative resonant frequency features using a non-parametric neighborhood component analysis algorithm. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…It enhances multi-scale feature fusion capability via weighted feature fusion, significantly reducing parameter count while improving small target detection capability. …”
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ESTIMATION OF EFFICIENCY OF OPERATING SYSTEM OF TAX PLANNING IN THE COMMERCIAL ORGANIZATIONS by Evgeniy A. Samsonov

“…Present clause is devoted to scientific judgement and estimations of efficiency of stimulating mechanisms (tools) of application of system of tax planning in the commercial organizations which allow to estimate разнонаправленное influence of taxes on final financial result of the organization, and also to predict change of business activity of the organization depending on tax loading. The big attention is given to complicated questions of features of management by the taxation and the order of reflection in the tax account of the facts of the economic activities arising between the state, on the one hand, and managing subjects - the commercial organizations - with another.…”
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Development of parameters for an industry-specific methodology for calculating the electric energy storage system for gas industry facilities by Ivan S. Tokarev

“…The methodology was tested at a typical gas industry facility – the Yarynskaya compressor station of OOO Gazprom Transgaz Ukhta, a characteristic feature of which is an autonomous power supply system. …”
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A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework by Tingting Xiao, Yonggang Peng, Chunyu Chen

“…Second, the temporal-spatial features of EVs are exploited by EVA to track the charging schedule. …”
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Optimizing concrete crack detection an echo state network approach with improved fish migration optimization by Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, Behrooz Eskandarpour

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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…This method employs a multi-feature input CNN with residual learning blocks, which takes both the current local environmental images and heading angle features as inputs to identify the complexity of the local environment with higher accuracy and a smaller load size. …”
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LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n by Qi Cao, Hang Chen, Shang Wang, Yongqiang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

“…It exhibits a 23.8% reduction in computational load while achieving a mAP50 of 96.6% on the HRSID dataset, which is 1.4% higher than YOLOv8n. …”
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EVALUATION OF OPERATIONAL RELIABILITY AND EFFICIENCY OF PRIMARY DESIGNS OF PULSE SUPERCHARGERS USING HYDRAULIC SHOCK ENERGY by A. N. Makeev

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High Strength–Ductility Synergy of As-Cast B2-Containing AlNbTaTiZr Refractory High-Entropy Alloy Under Intermediate and Dynamic Strain Rates by Hashim Naseer, Yangwei Wang, Muhammad Abubaker Khan, Jamieson Brechtl, Mohamed A. Afifi

“…Consequently, the RHEA fracture features mixed ductile–brittle morphology. Overall, the RHEA exhibits excellent strength–ductility synergy over a wide strain-rate domain. …”
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Advanced predictive machine and deep learning models for round-ended CFST column by Feng Shen, Ishan Jha, Haytham F. Isleem, Walaa J.K. Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…Abstract Confined columns, such as round-ended concrete-filled steel tubular (CFST) columns, are integral to modern infrastructure due to their high load-bearing capacity and structural efficiency. …”
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Calculation of the Capacity for the Operation of a Mini-Energy Complex Based on an Inde-pendently Operating Asynchronous Generator by S. V. Konstantinova, A. Yu. Kapustinskii, T. M. Yaroshevich

“…Based on the calculations carried out and the results obtained with the use of the experimental facility,the operating conditions of the MEC with standard parameters of electricity under varying load have been analyzed. A characteristic feature of the autonomous MEC is the commensurate capacity of the generating device and consumers. …”
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Classification and Identification Method of Power Equipment for Industrial Users Based on Harmonic Emission Level by Xingang YANG, Peng ZHANG, Yang DU, Aiqiang PAN, Qin XU

“…Secondly, the typical characteristics of each event is extracted to construct a feature matrix for industrial user equipment, and a feature screening method with high contribution rate is proposed to reduce the number of features. …”
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Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications by Muhammad Muzammul, Muhammad Assam, Ayman Qahmash

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