Showing 1,721 - 1,740 results of 63,112 for search 'ZEE5~', query time: 2.15s Refine Results
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    Research and Analysis of Facial Recognition Based on FaceNet, DeepFace, and OpenFace by Li Minghan

    Published 2025-01-01
    “…This study provides a comprehensive review of recent advancements in face recognition technology, focusing on deep learning models such as FaceNet, DeepFace, and OpenFace. …”
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    Yeti claws: Cheliped sexual dimorphism and symmetry in deep-sea yeti crabs (Kiwaidae). by Christopher Nicolai Roterman, Molly McArthur, Cecilia Laverty Baralle, Leigh Marsh, Jon T Copley

    Published 2025-01-01
    “…Yeti crabs (Kiwaidae) are deep-sea hydrothermal vent and methane seep dwelling crustaceans that farm chemosynthetic microbes on their bodies. …”
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    Article
  7. 1727

    Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions by Kong Xiangchen

    Published 2025-01-01
    “…Deep learning has made a lot of progress in the field of music generation. …”
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    Article
  8. 1728

    The effect of Moringa oleifera leaf extract in feed as an immunostimulant for Aeromonas hydrophilla bacterial infections by Imelda Arisa Iko, Faradila Maisa, Mellisa Siska

    Published 2025-01-01
    “…This study investigates the impact of adding Moringa oleifera leaf extract to feed as an immunostimulant for tilapia infected with Aeromonas hydrophila. …”
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    Article
  9. 1729

    Protective effect of adiponectin on oxidative stress-induced ovarian granulosa cell senescence in geese by Yan Zheng, Yunqiao Qiu, Ming Gao, Qianhui Wang, Lei Yu, Zhongzan Cao, Xinhong Luan

    Published 2025-01-01
    “…Geese are susceptible to oxidative stress during breeding, leading to senescence of granulosa cells (GCs) and reduced egg production. …”
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    A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

    Published 2025-02-01
    “…At the same time, the deep learning encoder adds layer of protection by concealing an image within another. …”
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    Article
  12. 1732

    Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

    Published 2024-10-01
    “…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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  13. 1733

    A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

    Published 2025-01-01
    “…Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists in diagnosing and treating dental conditions. Additionally, deep learning for tooth segmentation can focus on relevant treatment information and localize lesions. …”
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    Article
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    Effect of Inoculated Fermentation with Lactic Acid Bacteria on the Quality of Fermented Beef-Soybean Paste by ZOU Jinhao, SHEN Hongyun, LONG Zhengyu, YANG Huaigu, TANG Daobang

    Published 2024-12-01
    “…Collectively, this study provides a theoretical basis for the production of quality fermented beef-soybean paste inoculated with lactic acid bacteria.…”
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  16. 1736

    Study on Deflection of Surrounding Rock Force Chain and Disaster Mechanism of Instability in Deep Stope by Guang-Xiang Xie, Anying Yuan, Lei Wang

    Published 2020-01-01
    “…In addition, a force chain shell composed of strong chains similar to “ellipsoid” in shape had been formed in the overburden strata space of the entire stope. …”
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  17. 1737

    Using Sensor Network in Motion Detection Based on Deep Full Convolutional Network Model by Qichang Xu

    Published 2021-01-01
    “…Secondly, the background of the video scene is quickly extracted by the time domain averaging method, and the video sequence and the background image are channel-merged to construct a deep full convolutional network model. Finally, the network model is used to learn the deep features of the video scene and output the pixel-level classification results to achieve moving target detection. …”
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  18. 1738

    What Veterinarians Need to Know About the Newly-Emerging Field of Insects-as-Food-and-Feed by Kimberly L. Boykin, Mark A. Mitchell

    Published 2024-12-01
    “…As this industry continues to grow, veterinarians will likely be called upon to assist in identifying food safety concerns, assessing animal health, implementing biosecurity measures, and formulating/prescribing treatment protocols comparable to what we have seen with the honeybee industry and the institution of veterinary feed directives (VFDs). …”
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