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  1. 2061

    Grapes leaf disease dataset for precision agricultureMendeley Data by Madhuri Dharrao, Nilima Zade, R. Kamatchi, Rakesh Sonawane, Rabinder Henry, Deepak Dharrao

    Published 2025-08-01
    “…The dataset is precisely annotated under the guidance and observation of agriculture domain expert and organized in a well-defined folder structure. The dataset captures the two major categories healthy leaves and unhealthy leaves, during cultivation period. …”
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    Article
  2. 2062
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  4. 2064
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  8. 2068

    Ultrasonography of the salivary glands in Sjögren's disease: own data analysis by Yu. I. Khvan, A. V. Torgashina, A. V. Volkov, S. I. Glukhov

    Published 2024-10-01
    “…Objective: to investigate feasibility of using ultrasonography (US) to evaluate structural changes of salivary glands (SG) in patients with Sjögren's disease (SD).Material and methods. …”
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    Article
  9. 2069
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  11. 2071

    Spatio-Temporal Data Augmentation Method for Network Traffic Prediction by Sung Oh, Myeong-Jun Oh, Jong-Kyung Im, Ji-Yeon Park, Joung-Sik Kim, Na-Rae Yi, Myung-Ho Kim, Sung-Ho Bae

    Published 2025-01-01
    “…Moreover, network traffic data often exhibits localized and granular patterns, meaning that augmented data with significant spatial deviations from the original distribution can undermine structural consistency, leading to severe performance degradation in prediction models. …”
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    Article
  12. 2072

    Data Fusion and Dimensionality Reduction for Pest Management in Pitahaya Cultivation by Wilson Chango, Mónica Mazón-Fierro, Juan Erazo, Guido Mazón-Fierro, Santiago Logroño, Pedro Peñafiel, Jaime Sayago

    Published 2025-06-01
    “…This study addresses the critical need for effective data fusion strategies in pest prediction for pitahaya (dragon fruit) cultivation in the Ecuadorian Amazon, where heterogeneous data sources—such as environmental sensors and chlorophyll measurements—offer complementary but fragmented insights. …”
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    Article
  13. 2073

    Operationalising weather surveillance radar data for use in ecological research by Maryna Lukach, Thomas Dally, William Evans, Elizabeth J. Duncan, Lindsay Bennett, Freya I. Addison, William E. Kunin, Jason W. Chapman, Ryan R. Neely, III, Christopher Hassall

    Published 2024-12-01
    “…However, WSR datasets pose new challenges for ecologists due to their format, volume, and three-dimensional spatial structure. Here, we define a novel approach to the processing of WSR data to produce a product that can be used to interrogate trends in aerial biodiversity (abundance or diversity) at and across individual ground-level sites. …”
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  14. 2074

    Studi Perbandingan Kinerja Seismik Bangunan Struktur Baja dengan Menggunakan Pushover dan Time History by imam Abdullah, Novi Asniar, Dedi Budiman

    Published 2025-03-01
    “…Metode penelitian ini adalah kuantitatif dengan data analisis yang digunakan adalah data teknis, geometri dan data parameter gempa. …”
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  15. 2075
  16. 2076

    The dynamics of sex-age structure of the population in urban and rural areas in the Republic of Kazakhstan in the years 1991-2013 by Nyussupova Gulnara, Kalimurzina Aisulu

    Published 2016-03-01
    “…For comparison and analysis of statistical data in the dynamics, the data by sex and age of the urban and rural population for 1991, 2001 and 2011 were examined. …”
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  17. 2077

    A Survey of Holistic Approaches for Distributed Database Systems: From Conceptual Model to Deployment by Goncalo Carvalho, Jorge Bernardino, Bruno Cabral, Vasco Pereira

    Published 2025-01-01
    “…Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System (IS). …”
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  18. 2078

    Retrieval Augmented Generation Data Query Technique for Pineapple Cultivation by Badril Abu Bakar, Siti Noor Aliah Baharom, Mohd Taufik Ahmad, Mohd Nizam Zubir, Adli Fikri Ahmad Sayuti, Mohd Aufa Mhd Bookeri

    Published 2025-07-01
    “…Results showed that the models had a 78% - 87% correct answer rate for structured and   75% - 79% correct answer rate for unstructured data. …”
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  19. 2079
  20. 2080

    Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

    Published 2025-01-01
    “…This sensor-based data is categorized as either structured or unstructured data. …”
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