Showing 101 - 120 results of 172 for search 'Sensor network replacement', query time: 0.10s Refine Results
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    Transmission scheduling for mixed-critical multi-user multiple-input and multiple-output industrial cyber-physical systems by Changqing Xia, Xi Jin, Linghe Kong, Jintao Wang, Peng Zeng

    Published 2017-12-01
    “…Wireless sensor networks are widely used in industrial cyber-physical system installations, where high reliability and the need for real-time data are the two main characteristics. …”
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    A Voronoi-Based Location Privacy-Preserving Method for Continuous Query in LBS by Chunguang Ma, Changli Zhou, Songtao Yang

    Published 2015-03-01
    “…Most of the mobile phones have GPS sensors which make location based service (LBS) applicable. …”
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    Battery-Less 6LoWPAN-Based Wireless Home Automation by Use of Energy Harvesting by Ardiansyah Musa Efendi, Seungkyo Oh, Ali Fahmi Perwira Negara, Deokjai Choi

    Published 2013-07-01
    “…Being one of the current main technologies, wireless sensor network (WSN) is absolutely critical and plays an increasingly important role in the development of a wide range of data acquisition, processing, and control applications. …”
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    SAGE-NET—Reconceiving Edge Intelligence Using Attention-Based Deep Learning Framework for Effective Classification of Electrocardiogram (ECG) in WSN-IoT Environment by P. Vinoth Kumar, C. N. Marimuthu

    Published 2025-01-01
    “…Currently, these cardiac status monitoring systems largely depend on heavy equipment, which is costly and lacks flexibility and scalability. Recently, wireless sensor network–enabled Internet of things (WSN-IoT) has played a crucial role in integrating intelligent device capabilities into diagnosis and clinical treatment by replacing traditional equipment. …”
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    Infrared Ship Detection in Complex Nearshore Scenes Based on Improved YOLOv5s by Xiuwen Liu, Mingchen Liu, Yong Yin

    Published 2025-06-01
    “…Three key improvements are introduced: (1) Contrast Limited Adaptive Histogram Equalization integrated with Gaussian Filtering enhances target edge sharpness; (2) Replacement of the feature pyramid network’s C3 module with a Swin Transformer-based C3STR module reduces multi-scale false detections; and (3) Implementation of an Efficient Channel Attention mechanism amplifies critical target features. …”
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