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  1. 761

    Research on the Demands of GFM Converters Considering the Stability Enhancement for Large Receiving Power Grids by SUN, W., WANG, Q., LIU, Q., GE, Y., CAI, H., HAN, X., XIE, Z.

    Published 2025-02-01
    “…It presents a GFM converter evaluation method constrained by static voltage and frequency security. …”
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    Article
  2. 762

    Comparison of the Fracture Strength of Endodontically Treated Teeth Restored with the Biomimetic Method and Three Types of Post-and-Core Systems by Kosar Rezaei, Maryam Rezaei-Dastjerdi, Melika Mollaei, Hemmat Gholinia, Fahimeh Hamedirad

    Published 2025-08-01
    “…However, the frequency of restorable fractures with this method was higher than that observed in the other methods.…”
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  3. 763

    Optimal Configuration Model of Photovoltaic and Energy Storage Joint System Considering Coordination of Multiple Transaction Scenarios by CHEN Kun, SHANG Long-long, LUO Jin-ge

    Published 2022-10-01
    “…The target function is the combination with the support vector machine and model prediction control method, calculating the economic benefits of userside photovoltaic energy storage systems based on PJM market rules, with a simulation analysis of the transaction data of the actual photovoltaic energy storage system in a certain region in China. …”
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  4. 764

    Identification of the Types of Measured Acoustic Modes Inside the Operator’s Cab in a Bulldozer by Zygmunt Szczepan DZIECHCIOWSKI, Marek S. KOZIEŃ

    Published 2014-12-01
    “…Thus, identified frequencies were compared with natural acoustic frequencies registered inside the operator’s cab and with frequencies associated with the valves and ignition frequencies due to rotational speed and natural frequencies of structural vibrations of the cab’s walls. …”
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    Article
  5. 765

    Feasibility of main thermal ion heating by ICRF waves using a top launcher in a tokamak with deuterium–tritium plasmas by Jungpyo Lee, Nicola Bertelli, John Wright, Syun’ichi Shiraiwa, Roberto Bilato, Paul Bonoli

    Published 2025-01-01
    “…A scenario of ion cyclotron range of frequency (ICRF) wave injection from a top launcher is proposed as an efficient and direct heating method for thermal deuterium ions in deuterium–tritium tokamak plasmas. …”
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  8. 768

    Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

    Published 2025-03-01
    “…This study presents a comprehensive approach to this challenge by leveraging advanced signal processing techniques and machine learning paradigms. Our methodology integrates the time, frequency, and wavelet transform features extracted from X-ray-based measurement systems whose structure consists of an X-ray tube source, two sodium iodide detectors, and a test pipe, all of which were simulated using the Monte Carlo N Particle code. …”
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  9. 769

    Dynamic Balance Correction of Active Magnetic Bearing Rotor Based on Adaptive Notch Filter and Influence Coefficient Method by Xudong Guan, Hao Peng, Hui Li, Jiajing Zhang

    Published 2025-04-01
    “…Aiming at the mass imbalance of AMB rotor, a new method based on an adaptive notch filter (ANF) and the influence coefficient method (ICM) is proposed. …”
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    Article
  10. 770

    An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing by Youlong Lyu, Qingpeng Qiu, Ying Chu, Jie Zhang

    Published 2025-05-01
    “…In aerospace manufacturing, the reliability of machining equipment, particularly spindle bearings, is critical to maintaining productivity, as bearing health significantly constrains operational efficiency. …”
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    Article
  11. 771

    Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context by Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja

    Published 2025-07-01
    “…The proposed data processing pipeline and machine learning method offer a clinically applicable decision-support model using age-stratified normal ranges and feature variability over time for the early detection of clinical deterioration in critically ill children. …”
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    Article
  12. 772

    RETRACTED ARTICLE: A fixed support method for cryogenic silicon cavities of ultra-stable lasers for space applications by Fanchao Meng, Chaoqun Ma, Dingyi Zhang, Yue Li, Lingqiang Meng, Chengwen Xing, Jianjun Jia

    Published 2025-01-01
    “…Abstract In this paper, a fixed support method for a cryogenic monocrystalline silicon Fabry-Pérot cavity of an ultra-stable laser for space applications is proposed. …”
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    Article
  13. 773

    Crowd anomaly estimation and detection: A review by A. Hussein, M.W. Raed, A. Al-Shaikhi, M. Mohandes, B. Liu

    Published 2024-09-01
    “…Owing to occlusions and blind spots, traditional video surveillance methods cannot detect, estimate, or locate people in dense moving crowds with acceptable accuracy, posing a major challenge. …”
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  14. 774

    Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

    Published 2025-08-01
    “…A systematic review of key literature was conducted to address research challenges related to floating car sampling proportions and frequencies, and future research challenges and opportunities were proposed. …”
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    Construction of a stromal cell-related prognostic signature based on a 101-combination machine learning framework for predicting prognosis and immunotherapy response in triple-nega... by Fanrong Li, Congnan Jin, Yacheng Pan, Zheng Zhang, Liying Wang, Jieqiong Deng, Yifeng Zhou, Yifeng Zhou, Binbin Guo, Shenghua Zhang, Shenghua Zhang

    Published 2025-05-01
    “…A consensus MVP cell-related signature (MVPRS) was developed using 10 machine learning algorithms and 101 model combinations and validated in training and validation cohorts. …”
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    Emotion Recognition in Gaming Dataset to Reduce Artifacts in the Self-Assessed Labeling Using Semi-Supervised Clustering by Oscar Almanza-Conejo, Juan Gabriel Avina-Cervantes, Arturo Garcia-Perez, Mario Alberto Ibarra-Manzano

    Published 2024-01-01
    “…Besides, a 1-D Local Binary Pattern (LBP) method transforms the EEG temporal behavior to extract time-frequency features. …”
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