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Showing 501 - 520 results of 3,373 for search 'complex selection (coefficient OR (efficient OR efficiency))', query time: 0.22s Refine Results
  1. 501

    WORK EXPERIENCE INTERNSHIP THROUGH THE EYES OF TECHNICAL UNIVERSITY STUDENTS (ON THE MATERIALS OF SOCIOLOGICAL RESEARCH) by Alexandr Yu. Myagkov, Maria V. Grigorieva, Irina V. Zhuravleva, Svetlana L. Zhuravleva

    Published 2015-05-01
    “…The aim of the investigation is to study the problem of efficiency of work experience internship in a technical university and its role in the education of future professionals (problem has been investigated in the framework of the research project «Monitoring of social well-being and problems of professional adaptation of ISPEU students»).Methods. …”
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    Article
  2. 502
  3. 503

    Single-port robotic retroperitoneoscopic nephroureterectomy: Technical approach and recommendations for patient selection by Benjamin Yu, Richard E. Link

    Published 2025-06-01
    “…We focus on patient selection, advantages of regionalized SP surgery, and technical tips for operative efficiency and safety. …”
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    Article
  4. 504
  5. 505

    Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves by Bo Xing, Zujun Yu, Xining Xu, Liqiang Zhu, Hongmei Shi

    Published 2020-01-01
    “…By setting a reasonable vibration coefficient and orthogonal coefficient, the mode with the highest sensitivity to cracks is selected for crack detection. …”
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    Article
  6. 506

    The Partner Selection Modes for Knowledge-Based Innovation Networks: A Multiagent Simulation by Lvcheng Li, Jialong Xie, Ruyi Wang, Jiafu Su, Stavros Sindakis

    Published 2019-01-01
    “…Proper partner selection can increase the efficiency of the entire innovation system. …”
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    Article
  7. 507

    Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning by Suneeta Satpathy, Pratik Kumar Swain

    Published 2025-06-01
    “…GFS utilizes graph neural networks (GNNs) to generate a feature graph, enabling efficient pruning of essential features from portable executable (PE) files. …”
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    Article
  8. 508

    Dynamic feature selection for silicon content prediction in blast furnace using BOSVRRFE by Junyi Duan

    Published 2025-07-01
    “…Abstract Accurate prediction of silicon content in blast furnace ironmaking is essential for optimizing furnace temperature control and production efficiency. However, large-scale industrial datasets exhibit complexity, dynamism, and nonlinear relationships, posing challenges for feature selection. …”
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    Article
  9. 509

    Selective evolution of methanogenic communities by β-lactam antibiotics promotes methane production by Yuting Zhe, Huaigang Cheng, Danjing Ding, Yueyue He, Zhuohui Ma, Jing Shen

    Published 2025-06-01
    “…By utilizing amoxicillin, the research promotes the selective growth of methane-producing microbes while suppressing harmful ones, resulting in faster and more efficient methane production with enhanced process control. …”
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    Article
  10. 510

    Applications of randomly selected sets of exact Voight's solutions for vibration of thin plates by Ігор Ориняк, Юлія Бай, Ірина Костюшко

    Published 2022-12-01
    “… The principally new method of selected exact solutions, SES, for plate vibration based on fundamental solutions of Voigt is suggested. …”
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    Article
  11. 511

    Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials by Matej Babič, Roman Šturm, Teofil-Florin Gălățanu, Ildikó-Renáta Száva, Ioan Száva

    Published 2025-05-01
    “…We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. …”
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    Article
  12. 512

    A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects by Yanxi Xie, Yuewen Li, Zhijie Xia, Ruixia Yan, Dongqing Luan

    Published 2020-01-01
    “…The penalized h-likelihood method avoids the messy integration for the random effects and is computationally efficient. Furthermore, it demonstrates good performance in relevant-variable selection. …”
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  13. 513
  14. 514

    An Improved PIN Diode Model Design for a Tunable Frequency Selective Absorber by Hanxiang Lin, Xiaoxing Fang

    Published 2025-01-01
    “…As a result, it also minimizes the electromagnetic interference that often arises from bias lines, thereby improving the overall system efficiency and reliability. The proposed model, therefore, reduces the complexity of the absorbing system while enhancing its performance and tunability. …”
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    Article
  15. 515

    Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning by Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye

    Published 2025-02-01
    “…In the design of the reward function, the Optimal Index Factor (OIF) was introduced as the evaluation metric to encourage the agent to select bands with high information content and low redundancy, and thereby improve the efficiency and quality of the selection process. …”
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  16. 516

    Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions by Yangjie Guo, Yuping Lv

    Published 2025-01-01
    “…The photosynthetic light–response (<i>P</i><sub>n</sub>/<i>I</i>) curve is a crucial tool for accurately estimating photosynthetic parameters. However, selecting the most suitable model from numerous available light–response models is still difficult because of the complex canopy structure. …”
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  17. 517

    Modulating selectivity and stability of the direct seawater electrolysis for sustainable green hydrogen production by Dazhi Yao, Chun Liu, Yanzhao Zhang, Shuhao Wang, Yan Nie, Man Qiao, Dongdong Zhu

    Published 2025-03-01
    “…However, the inherently complex composition of seawater—laden with halide ions, multivalent cations (Mg2+, Ca2+), and organic/biological impurities—presents formidable challenges in maintaining both selectivity and durability. …”
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  18. 518
  19. 519

    Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection by Ibrahim Al-Shourbaji, Abdalla Alameen

    Published 2025-06-01
    “…This study demonstrates the significant potential of XAI-driven feature selection to create more efficient and accurate ANN models for SR prediction.…”
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    Article
  20. 520

    A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

    Published 2025-08-01
    “…Fluorescent probes offer high sensitivity, selectivity, a rapid response, and ease of use, making them ideal for the accurate and efficient recognition of Co<sup>2+</sup> in complex samples. …”
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