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  1. 31181

    RivAIr: A custom-designed UAV-based sensor for real-time water area segmentation and surface velocity estimation by Marco La Salandra, Rosa Colacicco, Simone Panza, Giovanni Fumai, Pierfrancesco Dellino, Domenico Capolongo

    Published 2025-08-01
    “…However, high computational demands and limited high-resolution river cross-section data make real-time river monitoring impractical, particularly for large or ungauged rivers during emergencies, impeding rapid analysis and decision-making. A key limitation is the lack of an all-in-one, efficient tool combining machine learning-based segmentation with real-time optical flow estimation on edge-computing Unmanned Aerial Vehicles (UAVs).To address these challenges, we introduce RivAIr, a novel UAV-mounted sensor system designed for real-time river monitoring. …”
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  2. 31182

    Incorporation of visible/near-infrared spectroscopy and machine learning models for indirect assessment of grape ripening indicators by Osama Elsherbiny, Salah El-Hendawy, Salah Elsayed, Abdallah Elshawadfy Elwakeel, Abdullah Alebidi, Xianlu Yue, Wael Mohamed Elmessery, Hoda Galal

    Published 2025-04-01
    “…Overall, the combination of VIS-NIR spectroscopy and machine learning offers a promising and efficient approach for assessing grape ripeness, providing a practical solution for the agricultural industry.…”
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  3. 31183

    Comparative genomics of Botryosphaeria dothidea and B. kuwatsukai, causal agents of apple ring rot, reveals both species expansion of pathogenicity-related genes and variations in... by Bo Wang, Xiaofei Liang, Mark L. Gleason, Rong Zhang, Guangyu Sun

    Published 2018-12-01
    “…Here, we sequenced the genomes of 8. dothidea strain PG45 (44.3 Mb with 5.12 % repeat rate) and 8. kuwatsukai epitype strain PG2 (48.0 Mb with 13.02 % repeat rate), and conducted a comparative analysis of these two genomes, as well as other sequenced fungal genomes, in order to understand speciation and distinctive patterns of evolution of pathogenicity-related genes. …”
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