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  1. 7981

    Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors by Artem Kozmin, Oleg Kalashev, Alexey Chernenko, Alexey Redyuk

    Published 2025-06-01
    “…In this paper, we present an enhanced approach based on semi-supervised learning for developing event classification models tailored for real-time and continuous perimeter monitoring of infrastructure facilities. The proposed method leverages a hybrid architecture combining an autoencoder and a classifier to enhance the accuracy and efficiency of event classification. …”
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  2. 7982

    Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification by Mukesh Soni, Mohammed Wasim Bhatt, Paul Ofori-Amanfo

    Published 2025-07-01
    “…Due to Light-GBM’s sensitivity to noise, an OVR-Jacobian regularization method is proposed for denoising. It improved ensemble model strength and successively used for breast cancer diagnosis. …”
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  3. 7983

    Research of Lightning Protection Systems of Wind Power Plant by Potapenko A.N., Kumar Udaya, Shtifanov A.I., Soldatenkov A.S.

    Published 2019-08-01
    “…The most significant result of the work is a mathematical model with boundary conditions that determines the rigid boundaries of the object of study and constant values at the free and symmetric boundaries for calculating the electric flow function, the method of finding the specific distribution of the lines of the flow function along the boundaries of the studied wind power installation, and the results of computational experiments. …”
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  4. 7984

    Investigating the influence of soil organic carbon on pore structure within aggregates by Jingjing Liu, Yu Tian, Chiara Pasut, Mark Farrell, Shenggao Lu

    Published 2025-08-01
    “…SOC plays a vital role in determining soil functionality and ecosystem services and is the primary driver of pore geometry within soil aggregates, yet traditional in-situ analysis methods have fallen short in accurately describing its intricate distribution. …”
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  5. 7985

    Dynamic Error Modeling and Predictive Compensation for Direct-Drive Turntables Based on CEEMDAN-TPE-LightGBM-APC Algorithm by Manzhi Yang, Hao Ren, Shijia Liu, Bin Feng, Juan Wei, Hongyu Ge, Bin Zhang

    Published 2025-06-01
    “…These findings conclusively establish the method’s effectiveness in significantly enhancing accuracy while maintaining prediction stability and operational efficiency, underscoring its considerable theoretical and practical value for error compensation in precision mechanical systems.…”
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  6. 7986

    Synthesis of Antenna Arrays and Parasitic Antenna Arrays with Mutual Couplings by M. Thevenot, C. Menudier, A. El Sayed Ahmad, G. Zakka El Nashef, F. Fezai, Y. Abdallah, E. Arnaud, F. Torres, T. Monediere

    Published 2012-01-01
    “…A synthesis method to design multielement antennas with couplings is presented. …”
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  7. 7987

    CLIMATE-RESPONSIBLE MANAGEMENT INFORMATION SYSTEMS TO RAISE PRODUCT QUALITY IN SUPPORT OF DECARBONISATION IN THE AI ECONOMY by Saida M. Ibraimova, Ilham M. Saipidinov, Natalia M. Serbulova, Olga A. Glushko, Svetlana B. Makeeva

    Published 2025-03-01
    “…To reach this goal, we used the trend method, comparative analysis, statistical analysis, and the method of classification. …”
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  8. 7988

    Conceptual Approaches to the Formation of Architecture of Documents of Strategic Planning in Russia by O. O. Smirnova, L. K. Bocharova, L. A. Belyaevskaya-Plotnik, Ju. N. Bogdanova

    Published 2019-12-01
    “…Methods: the main method of work is the disclosure of the principles of strategic planning. …”
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  9. 7989
  10. 7990

    Design and Optimization of a Vibration-Assisted Crop Seed Drying Tray with Real-Time Moisture Monitoring by Mingming Du, Hongbo Zhao, Shuai Zhang, Chen Li, Zhaoyuan Chu, Xiaohui Liu, Zhiyong Cao

    Published 2025-04-01
    “…However, traditional drying methods often result in uneven heating, leading to seed scorching and diminished drying efficiency and economic returns. …”
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  11. 7991

    Acetic Acid Chromoendoscopy in the Preliminary Diagnosis of Histological Type of Colon Polyp during Colonoscopy by N. V. Ageykina, E. D. Fedorov, P. G. Malkov, T. V. Nikolaychuk, N. A. Oleynikova

    Published 2022-03-01
    “…Aim: to increase the efficiency of endoscopic diagnosis of serrated and non-serrated histological types of colon polyps in real time.Materials and methods. …”
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  12. 7992

    Unlocking the promise of virtual care in hospitals: the Smarter Hospitals Project protocol by Reema Harrison, Rebecca Mitchell, Ramya Walsan, Maryam Sina, Robyn Clay-Williams, Alexander Cardenas, Michelle Moscova, Dalal Baumgartner, Mashreka Sarwar, Johanna Westbrook, Elizabeth Manias, Natalie Taylor, Rebecca Lawton, Sabe Sabesan, Virginia Mumford, Tim Badgery-Parker, Deepak Bhonagiri, Craig Nelson, Wei Chua, Bradley Christian, Kate Churruca, Jeffrey Braithwaite

    Published 2025-08-01
    “…Integration of virtual and in person care across health systems is a priority to create and sustain healthy nations by improving access to services, along with healthcare experiences, efficiency, and outcomes. Our collaborative project between health services, agencies, consumers, and clinicians across Australia seeks to provide the required evidence and solutions to optimise the integration of virtual care in hospital outpatient settings Methods and analysis Our five-year project contains three embedded sub-studies that use a multi-method approach. …”
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  13. 7993

    Rethinking Macramé Instruction: A Mathematical Approach to Sustainable Cord Usage in Textile Education by Fatimatu Hajia Ibrahim, Boakye Antwi, Karim Azumah, Issah Mohammed Seini

    Published 2025-06-01
    “…Methodology/Design: Research suggests that traditional Macramé teaching methods have remained largely unchanged, often relying on estimation and trial-and-error techniques for determining cord lengths. …”
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  14. 7994

    Correspondence distribution over a network in designing public urban passenger transportation tasks by A. I. Fadeev, A. M. Iliankov, V. V. Ukaderov

    Published 2023-07-01
    “…Materials and methods. The article presents a multi-criteria mathematical model of transportation design, according to which the tasks have been solved by distributing (limited or unlimited) transport resources between the permissible routes of the transport network in accordance with a variety of efficiency criteria, which can be the subject to appropriate restrictions. …”
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  15. 7995
  16. 7996

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

    Published 2024-12-01
    “…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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  17. 7997

    Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction by Xidi Yang, Liangyu Zhu, Wenyu Jiang, Yiting Yang, Mailin Gan, Linyuan Shen, Li Zhu

    Published 2025-06-01
    “…This study provides a more effective method for predicting feed efficiency and offers robust data support for precision livestock farming.…”
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  18. 7998
  19. 7999

    Parallel CUDA-Based Optimization of the Intersection Calculation Process in the Greiner–Hormann Algorithm by Jiwei Zuo, Junfu Fan, Kuan Li, Qingyun Liu, Yuke Zhou, Yi Zhang

    Published 2025-03-01
    “…This shows that the design method in this paper can effectively improve the operating efficiency of the polygon overlay analysis algorithm in the current large-scale data context.…”
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  20. 8000

    Research on Surrogate Model of Variable Geometry Turbine Performance Based on Backpropagation Neural Network by Liping Deng, Hu Wu, Yuhang Liu, Qi’an Xie

    Published 2025-05-01
    “…When the throat area of the single-stage turbine nozzle changed by ±30%, the maximum relative errors between the calculated mass flow rate and efficiency and their experimental values were 3.602% and 4.228%, respectively; thus, the determination coefficients of the constructed BP neural network model for the training samples were all greater than 0.999, indicating that the surrogate model has high prediction accuracy and strong generalization ability and can quickly predict variable geometry turbine cooling performance.…”
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