Showing 2,161 - 2,180 results of 25,128 for search 'detection (process OR programs)', query time: 0.29s Refine Results
  1. 2161

    Road Marking Sign Damage Detection and Classification Using Deep Learning and Fuzzy Method by William Eric Manongga, Rung-Ching Chen

    Published 2025-01-01
    “…This research proposes a novel method to detect damaged road marking signs and classify the damage level using the combination of YOLOv9, VAE, image processing techniques, and fuzzy logic. …”
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    Detection of GNSS spoofed signals based on the weighted moving average bias correction method by Chuanyu Wu, Yuanfa Ji, Xiyan Sun

    Published 2025-08-01
    “…In addition, this paper proposes a Weighted Moving Average Bias Correction (WMA-BC) algorithm for metric post-processing. Comparative experiments with Moving Average (MA) and Moving Variance (MV) based SQM methods demonstrate that the WMA-BC algorithm achieves substantial advantages in Detection Rate enhancement and significantly improves the Area Under Curve (AUC) of the Receiver Operating Characteristic (ROC). …”
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  7. 2167

    Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition by Wim J. van Houtum, Frans M. J. Willems

    Published 2012-01-01
    “…The advantage of non-iterative methods is that their forwardbackward procedures are extremely simple; however, also their gain of 0.7 dB, relative to two-symbol differential detection (2SDD) at a BER of 10-4, is modest. Iterative procedures lead to the significantly larger gain of 3.7 dB at a BER of 10-4 for five iterations, where a part of this gain comes from 2D processing. …”
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  8. 2168

    IMPLEMENTATION OF THE SLUDGE BIOTIC INDEX FOR CONTROL AND OPTIMIZATION OF THE BIOLOGICAL TREATMENT PROCESS by Valentina Iurchenko, Svitlana Tkachenko

    Published 2024-09-01
    “…The Sludge Biotic Index is a tool for quantitatively evaluating the functionality of sludge, allowing for monitoring and detection of critical conditions that may affect the quality of wastewater treatment. …”
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  9. 2169

    A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts by Vinita Shukla, Amit Shukla, Surya Prakash S. K., Shraddha Shukla

    Published 2025-06-01
    “…To advance intelligent manufacturing, sophisticated methods for high-quality process inspection are indispensable. This paper presents a systematic review of existing deep learning methodologies specifically designed for image anomaly detection in the context of industrial manufacturing. …”
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  10. 2170

    Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing by Li Wang, Feng Chen, Yujia Hu, Zhiyao Zheng, Kexin Zhang

    Published 2024-12-01
    “…This paper presents a transformer disassembly system designed for power systems, leveraging multimodal perception and collaborative processing. By integrating 2D images and 3D point cloud data captured by RGB-D cameras, the system enables the precise recognition and efficient disassembly of transformer covers and internal components through multimodal data fusion, deep learning models, and control technologies. …”
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  11. 2171

    Dataset Generation Process for Enhancing Depth Estimation Network in Autonomous Driving by Jinsu Ha, Kichun Jo

    Published 2024-01-01
    “…This paper introduces a novel dataset generation process that uses Light Detection and Ranging (LiDAR) mapping to enhance the quality of depth datasets. …”
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  12. 2172

    Pupillometry: A Simple and Automatic Way to Explore Implicit Cognitive Processing by Tian Yuan, Li Wang, Yi Jiang

    Published 2025-04-01
    “…We believe this protocol could be adapted to unveil the automatic processing of emotions and other attributes in social signals and further assist the early detection of social-cognitive disorders (e.g., autism).…”
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  13. 2173

    Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform by A. M. Boronakhin, A. V. Bolshakova, D.  M. Klionskiy, D. Yu. Larionov, R. V. Shalymov

    Published 2024-03-01
    “…These methods provide for time-frequency localization for irregularity detection and measurement.Results. Algorithms for vibrational signal processing using the continuous and discrete-time wavelet transform are proposed. …”
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    Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

    Published 2025-05-01
    “…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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    Large errors in soil carbon measurements attributed to inconsistent sample processing by R. J. Even, M. B. Machmuller, M. B. Machmuller, J. M. Lavallee, J. M. Lavallee, T. J. Zelikova, T. J. Zelikova, M. F. Cotrufo, M. F. Cotrufo

    Published 2025-01-01
    “…Detecting a true change in SOC after a management shift has occurred, specifically in agricultural lands, is difficult as it requires robust soil sampling and soil processing procedures. …”
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  19. 2179

    Optimization of the extraction process and combined determination of antibacterial ingredients of Li Peng by LIU Shuping, WANG Lei

    Published 2016-01-01
    “…Using Lichrospher C<sub>18</sub> column (150 mm × 4.6 mm,5 μm), methanol-0.1% phosphoric acid solution as the mobile phase, the flow rate of 1 mL/min, the detection wavelength at 280 nm, column temperature of 30℃ with the gradient elution program, the gallic acid, protocatechuic acid, and quercetin content in Li Peng could be better determined. …”
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  20. 2180

    GATEKEEPER Platform: Secure Processing Environment for European Health Data Space by Eugenio Gaeta, Muhammad Salman Haleem, Laura Lopez-Perez, Mirko Manea, Maria Fernanda Cabrera Umpierrez, Maria Teresa Arredondo Waldmeyer, Leandro Pecchia, Giuseppe Fico

    Published 2025-01-01
    “…However, there are certain challenges associated with compliance to EHDS, such as secure continuous integration (CI) and continuous delivery (CD), scalability and adaptability towards new technologies and applications, tolerance against IoT cyber-attacks, requirement of advanced data storage methods, processing power, interoperability solutions for data analysis and connectivity. …”
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