Showing 61 - 80 results of 524 for search '"fauna"', query time: 0.05s Refine Results
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    PENGEMBANGAN SERIUS GAME PADA PENGENALAN FAUNA DI TAMAN NASIONAL BALI BARAT by Saiful Yahya, Afiyah Alifah, Adita Ayu Kusumasari

    Published 2024-04-01
    “…Pengembangan boardgame berjenis serious game digunakan untuk salah satu solusi inovatif untuk meningkatkan pemahaman anak-anak mengenai flora dan fauna di Taman Nasional Bali Barat yang bertujuan menyadarkan pentingnya flora fauna dan kolaborasi konservasi alam. …”
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    New addition to the fauna of shallow-water hydroid polyps (Cnidaria: Hydrozoa) in the Gulf of Antalya, Türkiye by Yıldırım Sera Övgü Kabadayı, Küçük Fahrettin

    Published 2024-12-01
    “…The present study aimed to identify and characterize the hydroid fauna in the Gulf of Antalya, Türkiye. This paper reports 35 taxa belonging to 17 families identified in the region. …”
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    New Records of Lake Baikal Leech Fauna: Species Diversity and Spatial Distribution in Chivyrkuy Gulf by Irina A. Kaygorodova, Nikolay M. Pronin

    Published 2013-01-01
    “…As a result, the first information on the Chivyrkuy Hirudinea fauna (Annelida, Clitellata) has been revealed. There are two orders and four families of leeches in the Chivyrkuy Gulf: order Rhynchobdellida (families Glossiphoniidae and Piscicolidae) and order Arhynchobdellida (families Erpobdellidae and Haemopidae). …”
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    How Marine Megabenthos Fauna Responds to River Discharge and Artificial Flood in Large River Estuary by Debin Sun, Qinglu Fu, Jiao Wang, Linlin Chen, Jing Chen, Yilin Wang, Baoquan Li

    Published 2025-01-01
    “…On the whole, the artificial flood reshaped the geographical distribution of megabenthic fauna in the estuarine area within 20 days, mainly as a result of the dramatic changes in seawater salinity and nutrient structure caused by flow pulse. …”
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    Hierarchical deep learning framework for automated marine vegetation and fauna analysis using ROV video data by Bjørn Christian Weinbach, Rajendra Akerkar, Marianne Nilsen, Reza Arghandeh

    Published 2025-03-01
    “…This study presents the Esefjorden Marine Vegetation Segmentation Dataset (EMVSD) and FjordVision, a framework designed for automated analysis of marine vegetation and fauna in natural habitats. FjordVision combines state-of-the-art object detection, iterative dataset refinement, and a taxonomy-aware hierarchical reclassification framework that enhances accuracy across four taxonomic levels: binary, class, genus, and species. …”
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