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  1. 4521

    Subspace Method Aided Data-Driven Fault Detection Based on Principal Component Analysis by Lingling Ma, Xiangshun Li

    Published 2017-01-01
    “…The model-based fault detection technique, which needs to identify the system models, has been well established. …”
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    Article
  2. 4522

    Detection of mite infested saffron plants using aerial imaging and machine learning classifier by Hossein Sahabi, Jalal Baradaran-Motie

    Published 2025-01-01
    “… Aim of study: To evaluate and develop a machine learning code that uses aerial images in visible and near infrared (NIR) spectra to detect mite-infested Saffron (Crocus sativus L.) plants through processing the spectral indices to classify healthy and diseased plants. …”
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    Article
  3. 4523

    Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models by Yu Zhang, Chris Bingham, Miguel Martínez-García, Darren Cox

    Published 2017-01-01
    “…This paper extends traditional Gaussian mixture model (GMM) techniques to provide recognition of operational states and detection of emerging faults for industrial systems. …”
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    Article
  4. 4524
  5. 4525

    Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

    Published 2025-01-01
    “…This study presents an innovative methodology for automatic fault detection by analyzing images generated from the Fourier spectra of current signals using deep learning techniques. …”
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    Article
  6. 4526
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  9. 4529

    GA Based Adaptive Singularity-Robust Path Planning of Space Robot for On-Orbit Detection by Jianwei Wu, Deer Bin, Xiaobing Feng, Zhongpu Wen, Yin Zhang

    Published 2018-01-01
    “…As a new on-orbit detection platform, the space robot could ensure stable and reliable operation of spacecraft in complex space environments. …”
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    Article
  10. 4530

    Molecular detection of Escherichia coli from ovine aborted fetuses in Mosul city, Iraq by Aamer Y. Al-Chalaby, Omer K. Alhankawe, Balsam Y. Rasheed

    Published 2025-01-01
    “…The isolation results showed that Escherichia coli was detected in 10% of the specimens. The PCR results for all five isolates were positive for E. coli, with a product size of 232 bp. …”
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  11. 4531
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  14. 4534

    Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG by Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean Griffin, Geraldine B. Boylan, John M. O’Toole

    Published 2025-01-01
    “…We have developed and validated a seizure detection model using retrospective EEG data from 332 neonates. …”
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    Article
  15. 4535

    A Damage Detection Algorithm Utilizing Dynamic Displacement of Bridge under Moving Vehicle by Zhen Sun, Tomonori Nagayama, Di Su, Yozo Fujino

    Published 2016-01-01
    “…A damage detection method is proposed, which utilizes dynamic displacement of bridge structures under moving vehicle. …”
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    Article
  16. 4536

    Using WPCA and EWMA Control Chart to Construct a Network Intrusion Detection Model by Ying-Ti Tsai, Chung-Ho Wang, Yung-Chia Chang, Lee-Ing Tong

    Published 2024-01-01
    “…Artificial intelligence algorithms and big data analysis methods are commonly employed in network intrusion detection systems. However, challenges such as unbalanced data and unknown network intrusion modes can influence the effectiveness of these methods. …”
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  17. 4537

    Integrating attention mechanism and boundary detection for building segmentation from remote sensing images by Ping Liu, Yu Gao, Xiangtian Zheng, Hesong Wang, Yimeng Zhao, Xinru Wu, Zehao Lu, Zhichuan Yue, Yuting Xie, Shufeng Hao

    Published 2025-01-01
    “…We propose a building semantic segmentation method to improve the traditional Unet convolutional neural network by integrating attention mechanism and boundary detection. The attention mechanism module combines attention in the channel and spatial dimensions. …”
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    Article
  18. 4538
  19. 4539

    Rapid Electrochemical Detection of Radiolysis Products in an Aqueous Solution Exposed to Alpha Particle Beams by J. E. Liedhegner, W. Jennings, J. Wainright

    Published 2011-01-01
    “…An electrochemical cell has been developed that allows for the rapid and exhaustive detection of oxygen and/or hydrogen peroxide produced during the radiolysis of aqueous solutions by alpha particle or proton beams. …”
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  20. 4540