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Showing 121 - 140 results of 2,089 for search '((( source OR sources) detection functions ) OR ( sources selection functions ))', query time: 0.32s Refine Results
  1. 121

    A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish eDNA surveys by Letizia Lamperti, Olivier François, David Mouillot, Laëtitia Mathon, Théophile Sanchez, Camille Albouy, Loïc Pellissier, Stéphanie Manel

    Published 2024-12-01
    “…We present a spatial matrix factorization method that identifies optimal eDNA sample assemblages—called pools—assuming that taxonomic unit composition is based on a fixed number of unknown sources. These sources, in turn, represent taxonomic units sharing similar habitat properties or characteristics. …”
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    Recent Technological Advancements for Identifying and Exploiting Novel Sources of Pest and Disease Resistance for Peanut Improvement by Akshaya Kumar Biswal, Peggy Ozias-Akins, Carl Corley Holbrook

    Published 2024-12-01
    “…Recent technological advancements have revolutionized the identification of novel resistance sources and the development of resistant peanut cultivars. …”
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  4. 124

    Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

    Published 2025-07-01
    “…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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  5. 125

    National occupational safety and health systems: Exploring the underlying networks for future sustainable development by Gaia Vitrano, Guido J.L. Micheli

    Published 2024-12-01
    “…As a result, a range of fundamental functions and recurring bodies, covering – to different extents – the previously identified functions, constitute the framework, which are the most transversal functions for the selected countries. …”
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  6. 126

    Analysis of physicochemical, functional, and antioxidant properties of four different Indian seaweed species by Radheshyam B. Bajad, Meenatai G. Kamble, Sumit R. Gawai, Irshaan Syed, Mrinmoy Roy

    Published 2024-12-01
    “…Thus, the selected four marine seaweeds act as a good source of functional components and can be utilized for the development of functional food products such as bread, biscuits, cookies, tea, snacks, soups and beverages.…”
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  7. 127

    A Survey on the Functionalities of Data Catalog Tools by Jasmin Kropshofer, Johannes Schrott, Wolfram WoB, Lisa Ehrlinger

    Published 2025-01-01
    “…Currently, there is no generally accepted definition or interpretation regarding the required functionality of data catalog tools. This has not only led to a wide range of so-called data catalog tools but has also made it difficult for practitioners to gain an overview in order to make a targeted selection of a tool. …”
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    Testing source elevation versus genotype as predictors of sugar pine performance in a post‐fire restoration planting by Emily V. Moran, Rainbow DeSilva, Courtney Canning, Jessica W. Wright

    Published 2024-10-01
    “…Abstract Climate change is motivating a reassessment of how seeds are selected for reforestation, as rapid environmental change can lead to local maladaptation in trees. …”
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    Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data by F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti

    Published 2024-12-01
    “…Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. …”
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  18. 138

    Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

    Published 2025-05-01
    “…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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