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    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
  4. 244

    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
  5. 245

    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
  6. 246

    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
  7. 247

    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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    Article
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    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
  10. 250

    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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    Article
  11. 251

    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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    Outage probability based power allocation and relay selection algorithm in cooperative communication by Li-yue SUN, Xiao-hui ZHAO, Ming GUO

    Published 2013-10-01
    “…The relay selection and power optimization of multi-relay cooperative communication network under a joint sum power constraint was considered.A low complexity lay selection and power allocation algorithm was also pro-posed in amplify-and-forward cooperative network aiming at minimizing the probability of system outage.In this scheme,optimal power allocation among source and relay nodes was conducted.According to the SNR,an optimal relay node set was selected and a power allocation factor leading to lower system outage probability was obtained by steepest descent method.This algorithm did not need large quantity of l statistical information and equal power condition.It can obtain the best set of relay nodes under optimal power allocation only by solving the arranged matrix on the basis of Sig-nal to Noise Ratio.Simulation results show that the proposed relay select and power allocation algorithm,under the same conditions,compared in the outage probability in erent relay node set among several algorithms,achieves better performance in outage probability and power efficiency.…”
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  15. 255

    A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

    Published 2018-01-01
    “…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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    Article
  16. 256

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

    Published 2025-06-01
    “…The FT-Transformer module uses self-attention to recognize complex feature interdependencies, further improving classification accuracy. …”
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    Article
  17. 257

    Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

    Published 2025-04-01
    “…<b>Background/Objectives</b>: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection. …”
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  18. 258

    A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection by Sumbul Azeem, Shazia Javed, Iftikhar Naseer, Oualid Ali, Taher M. Ghazal

    Published 2025-01-01
    “…Metaheuristic algorithms, mainly inspired by nature, are strong candidates for the feature selection process, as they can efficiently search large solution spaces. …”
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    Article
  19. 259

    Application of Hardware and Software Complex for Individualisation of Students’ Sport and Recreational Physical Activities by O. N. Moskovchenko, L. V. Zakharova, N. V. Tretyakova, N. V. Lyulina, O. A. Kattsin, G. S. Savolaynen

    Published 2019-02-01
    “…The survey sampling and processing of experimental data were carried out by means of the hardware and software complex (HSC).Results and scientific novelty. The authors studied and documented the interconnection of students’ heart rate variability, taking into account their age and sex peculiarities, motion behaviour and medical groups. …”
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