Showing 12,841 - 12,860 results of 25,328 for search 'research algorithm', query time: 0.25s Refine Results
  1. 12841

    SC-PREC4SA: A serially complete daily precipitation dataset for South America by Adrian Huerta, Roberto Serrano-Notivoli, Stefan Brönnimann

    Published 2025-06-01
    “…It offers a valuable resource for climate research, hydrological modeling, and water resource management, addressing longstanding challenges in precipitation data availability and quality for South America.…”
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    Article
  2. 12842

    Patterns of Open Innovation Between Industry and University: A Fuzzy Cluster Analysis Based on the Antecedents of Their Collaboration by Marius Băban, Călin Florin Băban

    Published 2025-02-01
    “…Aiming to address these research gaps, a research framework was developed from the extant literature. …”
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    Article
  3. 12843
  4. 12844
  5. 12845

    Impact of Weather Factors on Unmanned Aerial Vehicles’ Wireless Communications by Lalan Mishra, Naima Kaabouch

    Published 2025-01-01
    “…This work aimed to address this research gap by thoroughly investigating the impact of atmospheric weather conditions on the bandwidth available for UAV communications. …”
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    Article
  6. 12846

    Impact of the Global Financial Crisis on the Business Cycle in the Visegrad Group by Bartosz Pawęta

    Published 2018-09-01
    “…Research Design & Methods: Visegrad Group’s business cycles were determined by employing Hodrick and Prescott filter to extract cyclical fluctuations, while Bry and Boschan algorithm was applied to identify the turning points of the cycles. …”
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    Article
  7. 12847

    A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress by Soo-yeon Park, Oran Kwon, Tim van den Broek, Jildau Bouwman, Ji Yeon Kim

    Published 2025-02-01
    “…Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. …”
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    Article
  8. 12848

    MODEL FOR THE FORMATION OF A PROJECT TEAM COMPOSITION BASED ON DISCRETE OPTIMIZATION METHODS by S.M. Beketov, M.V. Dergachev, S.G. Redko

    Published 2025-05-01
    “…Background. The research is devoted to the development of a model for the formation of optimal team composition for projects in general, and for innovative ones in particular, which are the basis of economic progress in the modern information society. …”
    Article
  9. 12849
  10. 12850

    Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach. by Vincent A Emanuele, Gitika Panicker, Brian M Gurbaxani, Jin-Mann S Lin, Elizabeth R Unger

    Published 2012-01-01
    “…SELDI-TOF mass spectrometer's compact size and automated, high throughput design have been attractive to clinical researchers, and the platform has seen steady-use in biomarker studies. …”
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    Article
  11. 12851
  12. 12852

    A framework of crop water productivity estimation from UAV observations: A case study of summer maize by Minghan Cheng, Ni Song, Josep Penuelas, Matthew F. McCabe, Xiyun Jiao, Yuping Lv, Chengming Sun, Xiuliang Jin

    Published 2025-08-01
    “…To address this challenge, our research develops an innovative UAV-based monitoring framework through systematic integration of long-term multispectral/thermal infrared observations with multi-model fusion: (1) Surface Energy Balance Algorithm for Land (SEBAL) and FAO-56 Penman-Monteith models for evapotranspiration (ET) estimation; (2) Random Forest algorithm incorporating four phenotypical growth indicators for yield estimation, ultimately enabling CWP quantification. …”
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    Article
  13. 12853
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  15. 12855

    Feasibility of automating the determination of changes in forest areas using satellite images (Case Study: Central Alborz protected area) by Amir Satari Rad, Behzad Rayegani, Ali Jahani, Hamid Goshtasb Meigooni

    Published 2024-08-01
    “…The 16-day NDVI images were converted to monthly images with the maximum value algorithm and the PCA algorithm with 25 components was applied to them to eliminate errors and noise. …”
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    Article
  16. 12856
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  19. 12859

    Development of a Drone-Based Phenotyping System for European Pear Rust (<i>Gymnosporangium sabinae</i>) in Orchards by Virginia Maß, Johannes Seidl-Schulz, Matthias Leipnitz, Eric Fritzsche, Martin Geyer, Michael Pflanz, Stefanie Reim

    Published 2024-11-01
    “…This drone-based phenotyping system shows promising results and could considerably simplify the tasks involved in fruit breeding research.…”
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    Article
  20. 12860