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Showing 61 - 80 results of 1,810 for search '((( resource OR resources) detection functions ) OR ( sources detection function ))', query time: 0.34s Refine Results
  1. 61

    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 increasing prevalence of cyber threats in wireless sensor networks (WSNs) necessitates adaptive and efficient security mechanisms to ensure robust data transmission while addressing resource constraints. This paper proposes a reinforcement learning-based adaptive encryption framework that dynamically scales encryption levels based on real-time network conditions and threat classification. …”
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    Detecting and routing of dust event using remote sensing and numerical modeling in Isfahan Province by Mehdii Jafari, Gholamreza Zehtabian, Hasan Ahmadi, Tayebeh Mesbahzadeh, Ali Akbar Norouzi

    Published 2020-03-01
    “…In addition, numerical weather models alone are not capable of storm detection, which requires the use of dust detection methods based on data remote sensing. …”
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    Article
  5. 65

    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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    Analytical method for determining coordinates of the radiation source in a homogeneous medium by H. V. Velichko

    Published 2015-12-01
    “…The problem is reduced to finding the minimum of a nonlinear function of five variables. This function is the sum of the squares of the differences of the calculated and the actual time of the wave front passing through the sensor for each of the sensors. …”
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    Article
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    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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    Article
  10. 70

    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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    Article
  11. 71

    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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    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
    “…Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. …”
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  14. 74

    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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    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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    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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