Showing 101 - 120 results of 2,992 for search '((\ sources selection function\ ) OR (( (resource OR source) OR sources) detection functions\ ))', query time: 0.37s Refine Results
  1. 101

    Joint Multifractal Analysis and Source Testing of River Level Records Based on Multifractal Detrended Cross-Correlation Analysis by Liang Wu, Manling Wang, Tongzhou Zhao

    Published 2020-01-01
    “…It is important for the detection of change in multifractality in space. Besides, the cross-correlations in two analyzed series make the analysis of sources of joint multifractality difficult. …”
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    Article
  2. 102
  3. 103

    The Host Galaxies of Pulsar Timing Array Sources: Converting Supermassive Black Hole Binary Parameters into Electromagnetic Observables by Niccolò Veronesi, Maria Charisi, Stephen R. Taylor, Jessie Runnoe, Daniel J. D’Orazio

    Published 2025-01-01
    “…However, the large uncertainty in source localization will make the identification of its host environment challenging. …”
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    Article
  4. 104
  5. 105

    Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

    Published 2025-01-01
    “…To exploit the consecutive nature of OES data, we propose a prediction method based on a functional approach using multivariate functional partial least squares regression, coupled with dimension reduction and a novel outlier detection technique via functional independent component analysis. …”
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    Article
  6. 106

    Nitrogen-functionalized modulation of iron nanoparticles promotes selective hydrogenation of carbon dioxide by Xianbiao Wang, Jun Qian, Zixuan Lu, Jie Huang, Liru Zheng, Yong Jiang, Mengdie Cai, Yuxue Wei, Lisheng Guo, Song Sun

    Published 2025-03-01
    “…Nitrogen-functionalized iron nanoparticles were prepared using a one-pot hydrothermal process. …”
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    Article
  7. 107

    Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning by Junhee Lee, Hongro Jang, Minkyu Park, Hyondong Oh

    Published 2025-01-01
    “…This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). …”
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    Article
  8. 108

    Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

    Published 2025-02-01
    “…The Frequency-Modulated Continuous Wave (FMCW) signal source is split into target and reference paths via a compact waveguide splitter, improving stability and reducing the complexity of the optical setup. …”
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    Article
  9. 109

    Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection by Asaf Khan, Saifullah Khan, Ariana Abdul Rahimzai, Saleem Abdullah

    Published 2025-05-01
    “…We develop continuous non-linear Diophantine fuzzy algebraic aggregation operators and apply them to a multi-attribute decision-making problem in renewable energy source selection. A case study demonstrates the effectiveness of the proposed CN-LDFS framework using a weighted geometric operator. …”
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    Article
  10. 110

    Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

    Published 2025-02-01
    “…This study introduces SCM, a two-stage composite feature selection framework designed to address this challenge. …”
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    Article
  11. 111
  12. 112

    SELECTION OF CRITERIA FOR ASSESSING THE EFFECTIVENESS OF RENEWABLE ENERGY SUPPORT POLICIES by N.А. Riazanova

    Published 2018-09-01
    “…The purpose of the article is to research and develop scientific and economic decisions on the assessment of the efficiency of the use of renewable energy sources, and to justify the selection of criteria for assessing renewable energy support policies. …”
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    Article
  13. 113

    Forms of financing the cultural sector in Poland against the background of solutions from selected European countries by Joanna Posłuszna, Stella Kaczmarek

    Published 2016-02-01
    “…Although the cultural sector is very important, state budgets contribute only a little to the financing of culture and its functioning depends on various sources of financing. …”
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  14. 114

    QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

    Published 2025-02-01
    “…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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  15. 115
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  17. 117

    A functional selection model explains evolutionary robustness despite plasticity in regulatory networks by Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

    Published 2012-10-01
    “…We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. …”
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  18. 118
  19. 119

    Characterization of analog rice produced from various carbohydrate sources and their functional components: a review by Dwi Ghina Nadhifa, Meta Mahendradatta, Ariny Poespitasari, Februadi Bastian, Andi Yuyun Adhnitasari

    Published 2025-06-01
    “…The information summarized in this review can be a reference for selecting the carbohydrate sources and ingredients for further development of analog rice based on its resulting characteristics and health benefits.…”
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  20. 120

    ChiMSource improves the accuracy of studies on novel amino acid sequences by predicting alternative sources of mass spectrometry-derived peptides by Umut Çakır, Noujoud Gabed, Ali Yurtseven, Igor Kryvoruchko

    Published 2025-01-01
    “…Here, we present a highly flexible program that predicts alternative chimeric and non-chimeric sources of peptides detected by MS proteomics.…”
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