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Showing 501 - 520 results of 3,373 for search 'complex selection (coefficient OR efficient)', query time: 0.16s Refine Results
  1. 501

    Evaluation of Environmental Factors Influencing Photovoltaic System Efficiency Under Real-World Conditions by Krzysztof Pytel, Wiktor Hudy, Roman Filipek, Malgorzata Piaskowska-Silarska, Jana Depešová, Robert Sito, Ewa Janiszewska, Izabela Sieradzka, Krzysztof Sulkowski

    Published 2025-04-01
    “…The implementation of evolutionary algorithms represents a novel approach in this context and has proven to be effective in quantifying environmental influence under complex real-world conditions. Furthermore, the findings highlight the indirect role of air pollution in attenuating irradiance and reducing system efficiency. …”
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    Article
  2. 502

    CORRECTION OF HYPODINAMY AS A FACTOR OF THE RISK OF OBESITY DEVELOPMENT IN FIRE-RESCUERS by E. V. BURDYUKOVA, A. N. ARKHANGELSKAYA, S. N. ALEKSEENKO, I. A. YAKIREVICH, E. A. DMITRIEVA, O. P. KARAZHELYASKOV, M. V. IVKINA, K. G. GUREVICH

    Published 2018-07-01
    “…The first complex was selected by 52 people. Based on the results of the study, against the background of the use of sports complexes, there was a 2-fold decrease in the incidence of obesity. …”
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    Article
  3. 503

    Berth Efficiency Under Risk Conditions in Seaports Through Integrated DEA and AHP Analysis by Deda Đelović, Marinko Aleksić, Oto Iker, Michail Chalaris

    Published 2025-07-01
    “…In the first phase, the DEA CCR input-oriented model is employed to assess the efficiency of selected berths considered as Decision Making Units (DMUs). …”
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    Article
  4. 504

    How can selection of biologically inspired features improve the performance of a robust object recognition model? by Masoud Ghodrati, Seyed-Mahdi Khaligh-Razavi, Reza Ebrahimpour, Karim Rajaei, Mohammad Pooyan

    Published 2012-01-01
    “…Our results suggest that selected features which are parts of target objects provide an efficient set for robust object recognition.…”
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    Article
  5. 505

    Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation by Shunjing Wang, Ru Ma, Qunran Yuan, Hongda Li, Changqing Jiang

    Published 2025-01-01
    “…Visualization of the volume of tissue activated (VTA) can assist in selecting stimulation parameters by showing the direct effects of DBS on neural tissue. …”
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    Article
  6. 506

    TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition by Wenzao Li, Sai Yao, Bing Wan, Linsong Xiao, Chengyu Hou, Yanchuan Zhong, Wengang Zhou

    Published 2025-07-01
    “…However, TDNN often struggles with accurately modeling multi-scale features when processing complex audio data, which can result in reduced speaker recognition accuracy. …”
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    Article
  7. 507

    Predicting the evolution of pH and total soluble solids during coffee fermentation using near-infrared spectroscopy coupled with chemometrics by Vicente Tirado-Kulieva, Carlos Quijano-Jara, Himer Avila-George, Wilson Castro

    Published 2024-01-01
    “…The relevant wavelengths were then selected using the β coefficients, the important projection of variables (VIP), and the CAFS method. …”
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    Article
  8. 508

    Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

    Published 2019-08-01
    “…These devices have limited capabilities in terms of energy and processing. Due to the complex structure of unmanned aerial vehicle networks and the high mobility constraints, design of efficient routing protocol, for supporting such network, is a challenge. …”
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    Article
  9. 509

    Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

    Published 2025-08-01
    “…Furthermore, our results emphasize that higher model complexity does not necessarily lead to better performance. …”
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    Article
  10. 510

    Discovering Representations of Democracy in Big Data: Purposive Semantic Sample Selection for Qualitative and Mixed-Methods Research by Hubert Plisiecki, Agnieszka Kwiatkowska

    Published 2024-11-01
    “…This method applies to any multi-thematic research area within big data, offering a reliable, efficient sample selection method for social research texts. …”
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    Article
  11. 511
  12. 512

    Topology Optimization Study of a Refrigeration Block Manufactured with Powder Bed Fusion Selective Laser Melting by Guido Servetti, Federico Valente, Jérôme Laurent, Jitendra Singh Rathore

    Published 2025-05-01
    “…Powder bed fusion with a selective laser melting (SLM) process is a versatile technology that allows for the manufacturing of complex geometries and lightweight structures. …”
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    Article
  13. 513

    Unraveling oxygen vacancy-driven catalytic selectivity and hot electron generation on heterointerfaces using nanostructured platform by Gyu Rac Lee, Kyoungjae Song, Doosun Hong, Juyoung An, Yujin Roh, Minyoung Kim, Donghun Kim, Yeon Sik Jung, Jeong Young Park

    Published 2025-03-01
    “…Abstract Modulating the physicochemical properties of oxides is crucial to achieve efficient and desirable reactions in heterogeneous catalysis. …”
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    Article
  14. 514

    SRFNet: Multimodal Based Selective Receptive Field Neural Network for Time Series Forecast of Flood Range by Zhiqing Li, Zeqiang Chen, Lai Chen, Xu Tang, Nengcheng Chen

    Published 2025-01-01
    “…Furthermore, many methods are too complex to poor computational efficiency and interpretability. …”
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    Article
  15. 515
  16. 516

    Genomic Prediction in a Self-Fertilized Progenies of <i>Eucalyptus</i> spp. by Guilherme Ferreira Melchert, Filipe Manoel Ferreira, Fabiana Rezende Muniz, Jose Wilacildo de Matos, Thiago Romanos Benatti, Itaraju Junior Baracuhy Brum, Leandro de Siqueira, Evandro Vagner Tambarussi

    Published 2025-05-01
    “…However, its efficiency may be compromised due to the complex structures of breeding populations, which arise from the use of multiple parents from different species. …”
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    Article
  17. 517

    A Spectral Editing Technique Based on Optimized Control of Nuclear Spin to Realize Lactate Signal Selection by SHAO Zhengze, WANG Xingle, YANG Xue, XIN Jiaxiang, WEI Daxiu, YAO Yefeng

    Published 2025-03-01
    “…This study provides new ideas and methods for efficiently selecting the signals of lactate in complex systems.…”
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    Article
  18. 518

    A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

    Published 2025-06-01
    “…It analyzes the criteria for selecting knowledge management outsourcing providers using a genetic algorithm. …”
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    Article
  19. 519

    Simple Cobalt Nanoparticle-Catalyzed Reductive Amination for Selective Synthesis of a Broad Range of Primary Amines by Bingxiao Zheng, Liqin Yang, Yashuang Hei, Ling Yu, Sisi Wen, Lisi Ba, Long Ao, Zhiju Zhao

    Published 2025-07-01
    “…This work presents a facile, aqueous-phase synthesis of highly active cobalt catalysts (Co-Ph@SiO<sub>2</sub>(x)) via pyrolysis of silica-supported cobalt–phenanthroline complexes. The optimized Co-Ph@SiO<sub>2</sub>(900) catalyst achieved exceptional performance (>99% conversion, >98% selectivity) in the reductive amination of acetophenone to 1-phenylethanamine using NH<sub>3</sub>/H<sub>2</sub>. …”
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  20. 520

    Microscopic Origin of Polarity‐Dependent VTH Shift in Amorphous Chalcogenides for 3D Self‐Selecting Memory by Ha‐Jun Sung, Minwoo Choi, Zhe Wu, Hwasung Chae, Sung Heo, Youngjae Kang, Bonwon Koo, Jong‐Bong Park, Wooyoung Yang, Yongyoung Park, Yongnam Ham, Kiyeon Yang, Chang Seung Lee

    Published 2024-11-01
    “…Abstract Ovonic threshold switching (OTS) selectors based on amorphous chalcogenides can revolutionize 3D memory technology owing to their self‐selecting memory (SSM) behavior. However, the complex mechanism governing the memory writing operation limits compositional and device optimization. …”
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    Article