Showing 41 - 60 results of 20,691 for search 'detection process', query time: 0.19s Refine Results
  1. 41

    Breast Cancer Detection Using Mammography: Image Processing to Deep Learning by Shahzad Ahmad Qureshi, Aziz-Ul-Rehman, Lal Hussain, Touseef Sadiq, Syed Taimoor Hussain Shah, Adil Aslam Mir, Muhammad Amin Nadim, Darnell K. Adrian Williams, Tim Q. Duong, Qurat-Ul-Ain Chaudhary, Natasha Habib, Asrar Ahmad, Syed Adil Hussain Shah

    Published 2025-01-01
    “…As mammography is the primary screening tool for breast cancer detection, improving the detection of breast cancer at screening could save more lives. …”
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    Copper Nodule Defect Detection in Industrial Processes Using Deep Learning by Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing

    Published 2024-12-01
    “…Copper electrolysis is a crucial process in copper smelting. The surface of cathodic copper plates is often affected by various electrolytic process factors, resulting in the formation of nodule defects that significantly impact surface quality and disrupt the downstream production process, making the prompt detection of these defects essential. …”
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  9. 49

    Defect Detection System on Stamping Machine Using the Image Processing Method by Nur Wisma Nugraha, Suharayadi Pancono, Gun Gun Maulana

    Published 2023-03-01
    “…Previous research on detecting defective objects using image processing has been carried out but has not been able to detect up to the shape and size, while in this study it can detect up to the shape and size. …”
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    Article
  10. 50

    Curb Detection and Mapping via Robust Iterative Gaussian Process Regression by Di Wang, Si Chen, Zhenni Ma, Jiajia Shi, Fuchun Zhang

    Published 2024-06-01
    “…Then iGPR is employed in shape estimation of both road profile and curb, which serves as the backbone unit in curb candidate detection. During this process, the input 3D point cloud is segmented into road and obstacles, and potential curb points are selected by evaluating physically interpretable curb features. …”
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    Low Frequency Electromagnetic Field Detection and its Signal Processing System by SHEN Chang-yu, LI Jia-hui, FANG Ze-hao, ZHANG Zhi-chao, ZHU Zhou-hong

    Published 2022-10-01
    “…According to the principle of low-frequency magnetic flux leakage testing, through software three-dimensional modeling and electromagnetic testing simulation, and the signal sampling and processing system based on Hall element sensor and STM32F1 microprocessor with the wireless communication module based on nRF24L01, a low frequency electromagnetic field detection system and its signal processing system were proposed. …”
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  15. 55

    Improved FastICA algorithm for data optimization processing in intrusion detection by Ye DU, dan ZHANGYa, hong LIMei, wei ZHANGDa

    Published 2016-01-01
    “…For the purpose of achieving the better data optimizat sing results in intrusion detection, an improved FastICA algorithm was proposed. …”
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  16. 56

    The use of the instantaneous frequency of electroencephalogram rhythms for the detection of latent epileptiform process by A. P. Kluev, I. S. Azarov, N. N. Misuk, A. N. Osipov

    Published 2019-06-01
    “…The obtained practical results can be used to create a new method for detecting a hidden epileptiform process.…”
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  17. 57

    Review of the Diffusion Process, Explosion Mechanism, and Detection Technology of Hydrogen and Ammonia by Zilong Zhang, Zhaotong Zhang, Yuqi Zhou, Yujie Ouyang, Jiangtao Sun, Jing Zhang, Bin Li, Dan Zhang, Yongxu Wang, Jian Yao, Huadao Xing, Lifeng Xie

    Published 2025-05-01
    “…Current research has not adequately addressed the safety concerns associated with the application process of hydrogen–ammonia mixtures. Future research on the safety of hydrogen–ammonia application processes should focus on the diffusion characteristics and combustion and explosion behaviors, as well as the development of electrical measurement detection technologies and optical flow field visualization techniques for hydrogen–ammonia mixtures.…”
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    Hyperspectral Signatures for Detecting the Concrete Hydration Process Using Neural Networks by Shiming Li, Alfred Strauss, Damjan Grba, Maximilian Granzner, Benjamin Täubling-Fruleux, Thomas Zimmermann

    Published 2025-07-01
    “…This paper introduces an innovative non-destructive method to detect the development of the hydration process under different treatment conditions. …”
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