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Showing 101 - 120 results of 2,295 for search '((\ source selection function\ ) OR (( resources OR resources) detection functions\ ))', query time: 0.27s Refine Results
  1. 101

    Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

    Published 2025-01-01
    “…Thirdly, it presents the FocalEloU-Loss function, which significantly enhances detection accuracy by refining bounding box predictions. …”
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  2. 102

    An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

    Published 2024-10-01
    “…Finally, combining the optimal threshold and loss function, we propose a model named MIX_LSTM for anomaly detection in IIoT. …”
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  3. 103
  4. 104

    Adaptive integrated weight unsupervised multi-source domain adaptation without source data by Zhirui Wang, Liu Yang, Yahong Han

    Published 2025-04-01
    “…Because target samples with low entropy measured from the pre-trained source model achieve high accuracy, the trust center samples are selected first using the entropy function. …”
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  5. 105
  6. 106

    Physiological and biochemical aspects of using black lion fly larvae as a source of biologically active and nutrient substances by M. S. Talan, I. S. Dokuchaeva, M. A. Mukhamed'yarov

    Published 2025-02-01
    “…Introduction. Functional foods are products that, in addition to taste and nutritional value, have a physiological effect on the human body. ω-6 and ω-3 fatty acids, when consumed in the form of triglycerides from various food sources, undergo digestion in the small intestine, allowing absorption and transport into the blood and subsequent assimilation into the body, including the brain, retina, heart and other tissues. …”
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  7. 107
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  9. 109

    DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu

    Published 2024-11-01
    “…Achieving real-time detection with high accuracy, while accommodating the limited resources of edge-computing devices poses a significant challenge for anti-UAV detection. …”
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  10. 110

    Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

    Published 2025-01-01
    “… Thenus spp. are slipper lobsters which are commercially significant as a food source with good aquaculture potential. This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. …”
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  11. 111
  12. 112

    Cookware as source of toxic metals: An overview by Okunola Alabi, Amos Tomiwa Afolabi

    Published 2024-10-01
    “… Cookware assumes a pivotal function in cooking, however, there are concerns about potential health hazards associated with the release of toxic metals into food. …”
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  13. 113

    Cookware as source of toxic metals: An overview by Okunola Alabi, Amos Tomiwa Afolabi

    Published 2024-10-01
    “… Cookware assumes a pivotal function in cooking, however, there are concerns about potential health hazards associated with the release of toxic metals into food. …”
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    Article
  14. 114

    SOURCES OF FINANCING INDUSTRIAL COMPLEX ENTERPRISES by Anzhela Zakhitovna Namitulina, Mikhail Nikolaevich Prokofiev, Nikolay Viktorovich Vorovsky

    Published 2016-08-01
    “…Subject article is relevant because It is devoted to description of sources of financing of defense enterprises and peculiarities of selection of sources of financing enterprises of the military-industrial complex. …”
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  15. 115

    Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

    Published 2025-07-01
    “…The approach also surpasses mainstream models such as YOLO11s with significantly fewer parameters, confirming its effectiveness and practical value in resource-constrained low-altitude UAV-based detection tasks.…”
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  16. 116
  17. 117

    Analysis of Facial Cues for Cognitive Decline Detection Using In-the-Wild Data by Fatimah Alzahrani, Steve Maddock, Heidi Christensen

    Published 2025-06-01
    “…Video-based analysis offers a promising, low-cost alternative to resource-intensive clinical assessments. This paper investigates visual features (eye blink rate (EBR), head turn rate (HTR), and head movement statistical features (HMSFs)) for distinguishing between neurodegenerative disorders (NDs), mild cognitive impairment (MCI), functional memory disorders (FMDs), and healthy controls (HCs). …”
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  18. 118

    Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

    Published 2025-04-01
    “…Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. …”
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  19. 119

    Rationale for obtaining protein concentrate of industrial hemp seeds of Cannabis sativa L. of modern selection based on mathematical modeling and its application in food production by A. V. Petrenko, E. S. Tarasov, O. N. Kaminir, E. N. Guba, E. A. Kalinyuk

    Published 2024-01-01
    “…In general, the studies have shown the feasibility of using protein concentrates from industrial hemp seeds of Cannabis Sativa L of modern selection in food products as a functional and technological ingredient.…”
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  20. 120

    Sources of Life Strengths Appraisal Scale: A Multidimensional Approach to Assessing Older Adults’ Perceived Sources of Life Strengths by Prem S. Fry, Dominique L. Debats

    Published 2014-01-01
    “…A 24-month followup of a randomly selected sample confirmed that the nine-scale appraisal measure (SLSAS) is a promising instrument for appraising older adults’ sources of life strengths in dealing with stresses of daily life’s functioning and also a robust measure for predicting outcomes of resilience, autonomy, and well-being for this age group. …”
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