Showing 921 - 940 results of 1,810 for search '((\ (source OR sources) detection functions\ ) OR (( resource OR resources) detection function\ ))', query time: 0.39s Refine Results
  1. 921
  2. 922

    Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

    Published 2015-06-01
    “…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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    Article
  3. 923

    Sigma Delta Modulation Controller and Associated Cybersecurity Issues with Battery Energy Storage Integrated with PV-Based Microgrid by Syeda Afra Saiara, Mohd. Hasan Ali

    Published 2024-12-01
    “…Battery energy storage systems (BESSs) play a crucial role in integrating renewable energy sources into microgrids. However, robust BESS controllers are needed to carry out this function properly. …”
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    Article
  4. 924
  5. 925

    A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq by Mailin Gan, Yuhang Lei, Kai Wang, Yan Wang, Tianci Liao, Jianfeng Ma, Li Zhu, Linyuan Shen

    Published 2024-07-01
    “…These datasets will constitute a valuable foundational resource for further investigations into the decline in male reproductive capacity triggered by heat stress.…”
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  6. 926
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    Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

    Published 2025-05-01
    “…Abstract Background Rice is a critical global food source, but it faces challenges due to nutritional deficiencies and the pressures of a growing population. …”
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  8. 928

    The role of vitamin K in the pathology of newborns and infants (literature review) by Y.V. Marushko, A.O. Pysariev, T.V. Kurilina, O.A. Bovkun

    Published 2024-10-01
    “…PIVKA II is used as a functional marker for the detection of vitamin K deficiency. …”
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  9. 929

    21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

    Published 2025-07-01
    “…We conclude by exploring the properties of spectroscopically confirmed $z>10$ galaxies, finding that UV slopes and UV downturns are in some cases redder or steeper than expected from SPS models, which may hint at more exotic (e.g. hotter/more massive stars or AGN) ionizing sources.…”
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  10. 930

    A data driven approach using local measurements to locate turbine governors causing forced oscillations by Sigurd Hofsmo Jakobsen, Xavier Bombois, Santiago Sanchez Acevedo, Hallvar Haugdal, Salvatore D’Arco

    Published 2025-07-01
    “…When forced oscillations are detected, they are located by finding the transfer functions that describe the behaviour of the corresponding plant the worst. …”
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  11. 931

    Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

    Published 2024-04-01
    “…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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  12. 932
  13. 933

    Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

    Published 2024-01-01
    “…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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  14. 934

    Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

    Published 2025-06-01
    “…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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  15. 935

    Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

    Published 2024-09-01
    “…Leveraging vast data sources, these technologies promise to enhance clinical practice and public health outcomes by enabling earlier disease detection, progression forecasting, and deeper understanding of underlying mechanisms. …”
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  16. 936

    Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

    Published 2025-01-01
    “…Among the critical factors that affect these attributes are code smells, indicators of structural deficiencies in the source code, which, although they do not directly affect functionality, significantly increase technical debt and maintenance costs. …”
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    Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

    Published 2023-05-01
    “…In this paper, we present a soil methane emissions suppression approach using swarms of unmanned aerial vehicles (UAVs), by spreading biochar mulch on top of the detected methane emissions area/source. Soil microorganisms can produce methane and release it into the atmosphere causing climate change such as global warming. …”
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  20. 940

    Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

    Published 2024-12-01
    “…The trained CNN model achieved high accuracy, with both precision and recall exceeding 97%, and correctly detected 96% of distant earthquakes. The probability of tectonic tremor as a function of the signal-to-noise ratio (SNR) increased steeply from 10 to 90% at an SNR of 4. …”
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