Showing 781 - 800 results of 1,810 for search '((\ (source OR sources) detection functions\ ) OR (( resource OR resource) detection function\ ))', query time: 0.77s Refine Results
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    Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

    Published 2025-01-01
    “…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
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    Article
  6. 786

    Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

    Published 2025-03-01
    “…The traffic allocation problem was modeled as a Markov decision process (MDP), where the reward function included both resource consumption and delay. …”
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  7. 787

    Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

    Published 2015-12-01
    “…Each method can provide any desired accuracy of the extremum problem solution, and it utilizes an acceptable time resource.…”
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    An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

    Published 2025-04-01
    “…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. …”
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    Article
  10. 790

    Sequence analysis of tyrosine recombinases allows annotation of mobile genetic elements in prokaryotic genomes by Georgy Smyshlyaev, Alex Bateman, Orsolya Barabas

    Published 2021-05-01
    “…Tyrosine recombinase (YR) proteins drive MGE mobilization and could provide markers for MGE detection, but they constitute a diverse family also involved in housekeeping functions. …”
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  11. 791

    A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds by Ondřej Santolík, Ivana Kolmašová, Ulrich Taubenschuss, Miroslav Hanzelka, David P. Hartley

    Published 2025-07-01
    “…We also remove all data points which may be contaminated by instrumental noise using a newly developed method to define detection thresholds as a function of frequency, time, and instrument settings. …”
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    Article
  12. 792

    Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

    Published 2025-04-01
    “…Additionally, we provide quantitative resource estimates, demonstrating a constant factor improvement in the number of samples required to detect a specified change in CDF. …”
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  13. 793

    Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

    Published 2025-02-01
    “…According to the membership function ranking by principal component analysis, the browning resistance of the 10 loquat resources from strong to weak was: Yanhong, Ruisui, Huangjinkuai, Zhongshudaxiang, Muluo Loquat, Zhongbai, Guifei, Sanyuebai, Baixuezao, Guofenben. …”
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  14. 794

    Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

    Published 2024-10-01
    “…To generate a comprehensive CNVR map of the ovine genome, we conducted genome-wide CNV detection using genotyping data from 285 fine wool sheep. …”
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  15. 795

    Phytochemical Profiling and Antioxidant Activity of True Leaves and Cotyledons of <i>Adenocaulon himalaicum</i> by Sang-Yun Lee, Nari Yoon, Neil Patrick Uy, Chung-Ho Choi, Sanghyun Lee

    Published 2025-03-01
    “…The young leaf of <i>A. himalaicum</i> has a rich phytochemical profile and robust antioxidant activity; hence, it has potential as natural antioxidant sources for human health and valuable pharmacognosy raw materials for pharmaceutical and functional food applications.…”
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    Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

    Published 2025-08-01
    “…The abandoned goaf resulting from coal resource integration in China poses a significant threat to coal mine safety. …”
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  19. 799

    Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios by Di Zhao, Weiwei Zhang, Yuxing Wang

    Published 2024-11-01
    “…In post-disaster search and rescue scenarios, the accurate image segmentation of individuals is essential for efficient resource allocation and effective rescue operations. …”
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    State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

    Published 2025-03-01
    “…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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