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Showing 61 - 80 results of 1,810 for search '((( resources OR resources) detection functions ) OR ( sources detection functions ))', query time: 0.26s Refine Results
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    Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

    Published 2025-01-01
    “…Furthermore, the Focaler-MPDIoU loss function has been developed to address the challenge of suboptimal localization accuracy for hard-to-detect targets and diminutive targets. …”
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  5. 65

    Western spotted skunk spatial ecology in the temperate rainforests of the Pacific Northwest by Marie I. Tosa, Damon B. Lesmeister, Taal Levi

    Published 2024-08-01
    “…Using these home ranges, we fitted a resource selection function using environmental covariates that we assigned to various hypotheses such as resources, predator avoidance, thermal tolerance, and disturbance. …”
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  6. 66

    Detection of Sensitive Malicious Android Functionalities Using Inter-Component Control-Flow Analysis by Rati Bhan, Parvez Faruki, Rajendra Pamula

    Published 2025-01-01
    “…The paper proposes a robust inter-component communication (ICC) based detection approach to identify such hidden functionality exploited by adversaries. …”
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    Aptamer-Functionalized Gold Nanoparticle Assay for Rapid Visual Detection of Norovirus in Stool Samples by Maytawan Thanunchai, Sirikwan Sangboonruang, Natthawat Semakul, Kattareeya Kumthip, Niwat Maneekarn, Khajornsak Tragoolpua

    Published 2025-06-01
    “…Detection relies on MgCl<sub>2</sub>-induced changes in the color and absorbance of these aptamer-functionalized AuNPs. …”
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    Detection of Greenhouse and Typical Rural Buildings with Efficient Weighted YOLOv8 in Hebei Province, China by Bingkun Wang, Zhiyuan Liu, Jiangbo Xi, Siyan Gao, Ming Cong, Haixing Shang

    Published 2025-05-01
    “…The large-scale detection of greenhouses and rural buildings is important for natural resource surveys and farmland protection. …”
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  11. 71

    AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

    Published 2025-01-01
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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  12. 72

    PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

    Published 2025-01-01
    “…However, due to the limited arithmetic and storage resources of edge-end devices, and the traditional detection algorithms have problems such as the number of parameters and large computational volume, the detection algorithms are difficult to be deployed practically. …”
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  13. 73

    The FAST Ursa Major Supergroup H i Survey (FUMaS): Catalog and H i Mass Function by Haiyang Yu, Ming Zhu, Chuan-Peng Zhang, Peng Jiang, Jin-Long Xu

    Published 2025-01-01
    “…Among them, 55 H i sources were detected for the first time, of which 32 do not have known optical redshifts. …”
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  14. 74

    Productivity, activity of digestive and antioxidant enzymes of carp (Cyprinus carpio Linnaeus, 1758) as a result of the use of inulin in low-nutrient feeds by O. Deren, O. Dobrianska, M. Koryliak

    Published 2025-06-01
    “…The practical use of the knowledge gained outlines the possibility of optimizing the production of fish when introducing resource-saving technologies in aquaculture.…”
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    Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

    Published 2025-03-01
    “…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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    Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

    Published 2024-10-01
    “…Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. …”
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