Showing 441 - 460 results of 20,691 for search 'detection process', query time: 0.24s Refine Results
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    Computer vision-based detection of liquid levels within cylindrical tanks in wastewater treatment by MA Huanhuan, LI Yunbei, ZHANG Yuanxin, HE Yu, SHI Ningning, FAN Anrui, ZHOU Linhao, HUANG Biaobing, HONG Shuangxi, ZHANG Xiaoju

    Published 2025-06-01
    “…【Method】A multi-modal image processing and intelligent monitoring platform was developed using OpenCV. …”
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    Social Media Text Stance Detection Based on Large Language Models by LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long

    Published 2025-05-01
    Subjects: “…stance detection; large language models; natural language processing; multi-strategy optimization…”
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    Face Mask Wearing Detection Using Support Vector Machine (SVM) by Muhammad Nur Yasir Utomo, Fajrin Violita

    Published 2021-12-01
    “…Thus, this research proposes a face mask-wearing detection using a soft-margin Support Vector Machine (SVM). …”
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    Examining auditory modulations on detecting and pooling visual global motion by Yi-Chuan Chen, Ang-Ke Ku, Pi-Chun Huang

    Published 2025-06-01
    “…Further analysis using the equivalent noise model confirmed that auditory motion did not influence the detection or pooling of visual motion signals. Hence, we did not find evidence to support the notion that auditory motion modulates the sensory or perceptual processing of visual global motion, delineating a boundary condition for such crossmodal interactions.…”
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    Genderly: a data-centric gender bias detection system by Wael Khreich, Jad Doughman

    Published 2025-05-01
    “…To address these gaps, we propose Genderly, a hybrid and modular data-centric system for detecting gender biases in English across linguistic levels. …”
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    Ramp winch locking system based on multi-channel image processing by Lei YOU, Yiwen LI, Haifeng ZHANG, Xiaoyu YANG, Minghua LUO

    Published 2025-05-01
    “…The algorithms are categorized into object detection, tracking and occlusion detection. In the object detection, Slim-C3 was designed using GSConv to lighten the backbone and neck networks and to improve the accuracy of target detection by the decoupling head based on GSConv; in the target tracking stage, the tracking algorithm of second-level matching is studied to improve the speed without decreasing the accuracy. …”
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