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Showing 441 - 460 results of 3,373 for search 'complex selection (coefficient OR efficient)', query time: 0.17s Refine Results
  1. 441

    Enhanced Selective Separation of Pu(IV) and U(VI) Using Novel Diethylene Glycolamide Ligand by Xiaoyun Guo, Junli Wang, Yao Liu, Haojun Zhao, Hui Wang, Wentao Wang, Baole Li, Taihong Yan

    Published 2025-04-01
    “…The study unveils that the ligand demonstrates remarkable selectivity and separation efficiency towards Pu(IV) ions while maintaining an exceptionally low extraction capacity for U(VI) across a wide acidity spectrum of 0.1~6 mol/L. …”
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    Article
  2. 442

    Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics by T. D. Besedina, A. P. Boyko, Ts. V. Tutberidze, N. S. Kiseleva

    Published 2021-04-01
    “…The crop’s genotypic diversity contributed to the specific nature of the complex effect produced by environmental factors. …”
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    Article
  3. 443

    FROM TOPIC SELECTION TO SUCCESSFUL PUBLICATION: A ROADMAP FOR PHILOSOPHY DOCTOR (PHD) SUPERVISORS AND STUDENTS by Burhan Fatih Kocyigit, Nurlan Aukenov, Marlen Yessirkepov, Bekaidar Nurmashev

    Published 2025-06-01
    “…Doctoral education is a rigorous and complex endeavor that demands more than subject-matter proficiency. …”
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    Article
  4. 444

    A Cluster Head Selection Algorithm for Extending Last Node Lifetime in Wireless Sensor Networks by Marcin Lewandowski, Bartłomiej Płaczek

    Published 2025-05-01
    “…This paper introduces a new cluster head selection algorithm for wireless sensor networks (WSNs) to maximize the time until the last sensor node depletes its energy. …”
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    Article
  5. 445

    An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

    Published 2025-07-01
    “…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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    Article
  6. 446

    A population spatialization method based on the integration of feature selection and an improved random forest model. by Zhen Zhao, Hongmei Guo, Xueli Jiang, Ying Zhang, Changjiang Lu, Can Zhang, Zonghang He

    Published 2025-01-01
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    Article
  7. 447

    Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

    Published 2025-07-01
    “…To address these limitations, we propose a low-complexity channel estimator using a non-iterative reconstruction network (NIRNet) with a learning-based selection matrix (LSM). …”
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    Article
  8. 448
  9. 449

    Comparing the Efficiency of Sediment Rating Curve and ANN Models in Estimating River Bed-load by Jamal Mosaffaie, Amin Saleh pourjam, Mahmudreza Tabatabaei

    Published 2017-09-01
    “… Evaluation and selection of the most appropriate methods for bed-load estimation is necessary because of the sampling difficulties and inaccurate estimations of the empirical equations. …”
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    Article
  10. 450

    Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium by Arman Shamshitov, Egidija Satkevičiūtė, Francesca Decorosi, Carlo Viti, Skaidrė Supronienė

    Published 2025-01-01
    “…In this regard, microbial inoculation with efficient strains offers a viable and eco-friendly solution to accelerating the decomposition process of crop residues. …”
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    Article
  11. 451

    Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

    Published 2025-05-01
    “…This study addresses the problem of simultaneous variable selection and model estimation in multivariate failure time data, a common challenge in clinical trials with multiple correlated time-to-event endpoints. …”
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    Article
  12. 452
  13. 453
  14. 454

    Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection by Van-Trung Nguyen, Minh-Tien Nguyen

    Published 2025-01-01
    “…By bridging theoretical innovation with practical applications, the proposed method provides a scalable and precise solution for signal reconstruction in complex environments.…”
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    Article
  15. 455

    Screening macrocyclic peptide libraries by yeast display allows control of selection process and affinity ranking by Sara Linciano, Ylenia Mazzocato, Zhanna Romanyuk, Filippo Vascon, Lluc Farrera-Soler, Edward Will, Yuyu Xing, Shiyu Chen, Yoichi Kumada, Marta Simeoni, Alessandro Scarso, Laura Cendron, Christian Heinis, Alessandro Angelini

    Published 2025-06-01
    “…X-ray analysis of a selected ligand in complex with its target reveals optimal shape complementarity and extensive surface interaction, explaining its exquisite affinity and selectivity. …”
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    Article
  16. 456

    EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

    Published 2025-04-01
    “…Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. …”
    Article
  17. 457

    Optimizing Ecosystem Partner Selection Decisions for Platform Enterprises: An Embedded Innovation Demand-Driven Framework by Baoji Zhu, Renyong Hou, Quan Zhang

    Published 2025-05-01
    “…The rapid emergence of the platform economy has accelerated the practice of embedded innovation, with ecosystem partner selection serving as a critical first step in platform enterprises’ innovation collaborations and playing a key role in enhancing innovation efficiency and outcomes. …”
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    Article
  18. 458
  19. 459

    Biosorption of chitosan-biochar microsphere for methyl red and biosorption enhancing effect of microsphere-microbe complex by Du Jingting, Sun Pengfei, Zhao Yuhua, Zhang Xin

    Published 2015-03-01
    “…UN2 in methyl red solution with high concentration, and the removal rate for methyl red was increased by 29% and 76% respectively by chitosan-biochar-microbe complex compared with chitosan-biochar microsphere and free strains alone.In conclusion, the newly produced chitosan-biochar microsphere is an efficient adsorption material for methyl red. …”
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    Article
  20. 460

    A Complex Integrable Hierarchy and Its Hamiltonian Structure for Integrable Couplings of WKI Soliton Hierarchy by Fajun Yu, Shuo Feng, Yanyu Zhao

    Published 2014-01-01
    “…We generate complex integrable couplings from zero curvature equations associated with matrix spectral problems in this paper. …”
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    Article