Showing 961 - 980 results of 17,765 for search '"detective"', query time: 0.10s Refine Results
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    Secure UAV-Based System to Detect Small Boats Using Neural Networks by Moisés Lodeiro-Santiago, Pino Caballero-Gil, Ricardo Aguasca-Colomo, Cándido Caballero-Gil

    Published 2019-01-01
    “…This work presents a system to detect small boats (pateras) to help tackle the problem of this type of perilous immigration. …”
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  4. 964

    A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis by Yunfeng Li, Liqin Wang, Jian Guan

    Published 2017-01-01
    “…As a consequence, the bearing fault signal was detected adaptively, and time-frequency characteristics of the fault signal can be extracted accurately. …”
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    Article
  5. 965

    A New Algorithm and Its Application in Detecting Community of the Bipartite Complex Network by Zhongyi Lei, Haiying Wang

    Published 2021-01-01
    “…In this study, we propose a model of community detection of the bipartite network, which is based on the generalized suffix tree algorithm. …”
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    Development of polimeraze chain reaction based test system for Eperythrozoon suis detection by M. V. Biryuchenkova, A. M. Timina

    Published 2018-04-01
    “…A PCR and electrophoresis based tool was developed for Eperythrozoon suis detection. During 2004-2013, tests for Eperythrozoon suis detection were performed using the developed tool. …”
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  8. 968

    Electrochemical Sandwich Immunoassay for the Ultrasensitive Detection of Human MUC1 Cancer Biomarker by Zahra Taleat, Cecilia Cristea, Giovanna Marrazza, Robert Săndulescu

    Published 2013-01-01
    “…A linear relationship was obtained for the detection of human MUC1 over a range of 0–25 ppb with the lowest detection limit of 1.34 ppb when HRP was applied as a label. …”
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    Reputation detection based on incomplete distribution for mobile agent in wireless sensor networks by Yang Yang, Xiaoyu Jin, Su Yao, Xuesong Qiu, Liu Liu

    Published 2017-06-01
    “…We design a multisensor interaction trust model with complete β distribution and introduce incomplete β distribution to optimize the trust model according to the actual situation of detection data loss for mobile agent system in the wireless sensor networks. …”
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  11. 971

    INDIRECT ELISA FOR DETECTION OF ANTIBODIES TO FMDV NON-STRUCTURAL PROTEINS IN PORCINE SERA by A. S. Yakovleva, A. V. Kanshina, A. V. Scherbakov

    Published 2018-10-01
    “…An indirect variant of ELISA used for detection of antibodies to nonstructural proteins of the FMD virus in porcine blood sera was developed. …”
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  12. 972

    A knowledge embedded multimodal pseudo-siamese model for atrial fibrillation detection by Chenglin Lin, Huimin Lu, Pengcheng Sang, Chenyu Pan

    Published 2025-01-01
    “…Although many ECG classification models have been proposed to assist in AF detection, they are prone to misclassifying indistinguishable noise signals, and the context information of long-term signals is also ignored, which impacts the performance of AF detection. …”
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  13. 973

    A LiDAR - camera fusion detection method based on weight allocation by Kang Haotian, Wang Tianshu

    Published 2025-01-01
    “…In automatic driving target detection problem, the neural network is applied to two methods, vision, and LiDAR. …”
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    Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain by Jian-xin Yu, Hui-feng Tan

    Published 2020-01-01
    “…To identify the damaged beams in large-scale spatial structure, a damage indicator based on virtual axial strain calculated from mode shape vectors was proposed. The damage detection process was performed based on the dynamic simulation flowchart. …”
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  17. 977

    Robust Data-Driven Fault Detection: An Application to Aircraft Air Data Sensors by Yunmei Zhao, Hang Zhao, Jianliang Ai, Yiqun Dong

    Published 2022-01-01
    “…Fault detection (FD) is important for health monitoring and safe operation of dynamical systems. …”
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    Respiratory disease detection in lung auscultation with convolutional neural networks and CVAE augmentation by D.V. Panaskin, S.H. Stirenko, D.S. Babko

    Published 2024-10-01
    “…The main purpose of this work was to investigate the possibility of detecting respiratory diseases in audio recordings of lung auscultation using modern deep learning tools, as well as to explore the possibility of using data augmentation by generating synthetic spectral representations of audio samples. …”
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