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    Features of assessing the condition and behavior of low-water bridges by A. A. Loktev, V. V. Korolev, I. V. Shishkina

    Published 2021-12-01
    “…The article describes features of operation and monitoring of low-water bridges, which are found on highways of regional, intermunicipal and local importance. …”
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    Article
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    Features of Physical and Neuro-Psychological Development of Children with Low, Very Low and Extremely Low Birth Weight in Different Age Periods of Life by I. A. Deev, K. V. Kulikova, O. S. Kobyakova, E. S. Kulikov, E. V. Deeva, I. L. Kolomeets

    Published 2016-12-01
    “…Analysis of features of physical and neuro-psychological development of children with low, very low and extremely low birth weight in different age periods is carried out according to cohort studies of newborns with different gestational age and birth weight, presented in electronic databases PubMed and Medscape. …”
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    Article
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    Features of somatic pathology in children with low, very low and extremely low birth weight at different ages of life (review of the world literature) by L. S. Namasov-Baranova, I. A. Deev, O. S. Kobyakova, K. V. Kulikova, E. S. Kulikov, V. A. Zhelev, E. V. Deeva, I. L. Kolomeec, I. A. Belyaeva, I. V. Davydova, A. M. Mammadyarov

    Published 2016-10-01
    “…The article is dedicated to the analysis of features of somatic pathology in children with low, very low and extremely low body weight at birth at different ages of life, according to foreign cohort studies of newborns with different gestational age and weight into electronic databases PubMed, Medscape. …”
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    Article
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    Commercial Video Evaluation via Low-Level Feature Extraction and Selection by Xiangmin Lun, Mingxuan Wang, Zhenglin Yu, Yimin Hou

    Published 2018-01-01
    “…To discover the influence of the commercial videos’ low-level features on the popularity of the videos, the feature selection method should be used to get the video features influencing the videos’ evaluation mostly after analyzing the source data and the audiences’ evaluations of the videos. …”
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    Article
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    Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

    Published 2017-05-01
    Subjects: “…low-rate denial of service attack;united features;BP neural network;anomaly detection…”
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    The perception of naturalness correlates with low-level visual features of environmental scenes. by Marc G Berman, Michael C Hout, Omid Kardan, MaryCarol R Hunter, Grigori Yourganov, John M Henderson, Taylor Hanayik, Hossein Karimi, John Jonides

    Published 2014-01-01
    “…We then trained a machine-learning algorithm to predict whether a scene was perceived as being natural or not based on these low-level visual features and we could do so with 81% accuracy. …”
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    PFVnet, a feature enhancement network for low recognition coal and rock images by Cai Han, Zhenwen Liu, Shenglei Zhao, Yubo Li, Yanwei Duan, Xinzhou Yang, Chuanbo Hao

    Published 2025-04-01
    “…We characterized the grayscale and texture feature patterns of coal-rock media under varying degrees of interference and established a comprehensive multi-element image training sample library. …”
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    Image-based anomaly detection in low-light industrial environments with feature enhancement by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Son-Anh Bui, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Viet-Anh Trinh, Quang-Huy Ha, Nguyen Dinh Bao Long, Duc-Thanh Tran, Xuan-Tung Dinh, Van-Hiep Duong, Tran Thi Thuy Trang

    Published 2025-03-01
    “…In this paper, we present DarkAD, a novel end-to-end approach specifically designed to address the difficulties of anomaly detection under low-light conditions. Our framework features a Dark-Aware Feature Adapter (DAFA), which enhances feature extraction by integrating two key modules: Frequency-based Feature Enhancement (FFE) and Illumination-aware Feature Enhancement (IFE). …”
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