Showing 161 - 180 results of 25,128 for search 'detection (process OR programs)', query time: 0.25s Refine Results
  1. 161

    Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set by Jinna Li, Yuan Li, Haibin Yu, Yanhong Xie, Cheng Zhang

    Published 2012-01-01
    “…A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes. …”
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    Article
  2. 162

    Automatic detection and classification process for concrete defects in deteriorating buildings based on image data by Suhyun Kang, Seungho Kim, Sangyong Kim

    Published 2025-07-01
    “…A CNN model is developed to detect defects in images of aging buildings, and the proposed process is validated through a case study to demonstrate its effectiveness. …”
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    Article
  3. 163

    Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big Data by Mohammad Reza Taghva, Taha Mansouri, Kamran Feizi, Babak Akhgar

    Published 2016-10-01
    “…The present study with Map Reduce approach and parallel processing, applied the Kohonen neural network model to detect abnormalities in bank card transactions. …”
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    Article
  4. 164
  5. 165

    Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

    Published 2023-10-01
    “…Infrared thermography is a non-destructive testing method used to detect defects in materials and structures. Machine learning algorithms have been applied to thermographic data to automate the defect detection process. …”
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    Article
  6. 166
  7. 167

    Real-Time Detection and Process Status Integration System for High-Pressure Gas Leakage by Nian-Ze Hu, Hao-Lun Huang, Chun-Min Tsai, Yen-Yu Wu, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

    Published 2025-05-01
    “…This system effectively detected gas leakage and transmitted and analyzed the data, significantly improving the operational efficiency of the gas cylinder filling process.…”
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    Article
  8. 168
  9. 169

    A Systematic Review of Natural Language Processing Techniques for Early Detection of Cognitive Impairment by Ravi Shankar, PhD, Anjali Bundele, MPH, Amartya Mukhopadhyay, FRCP

    Published 2025-06-01
    “…Objective: To systematically evaluate the effectiveness and methodologic approaches of natural language processing (NLP) techniques for early detection of cognitive decline through speech and language analysis. …”
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    Article
  10. 170

    Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing by Geofrey Prudence Baitu, Y. Benal Öztekin, Omsalma Alsadig Adam Gadalla, Khaled Adil Dawood Idress

    Published 2024-07-01
    “…This study aimed to use traditional machine learning techniques to detect maize diseases using image processing techniques. …”
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    Article
  11. 171

    Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

    Published 2025-01-01
    “…While global efforts are underway to accurately detect sleep spindles using AI, most involve classical signal processing techniques like wavelet transforms and STFT. …”
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    Article
  12. 172

    Recent process in organic near-infrared fluorescent probes for detecting hypochlorous acid/hypochlorite by Zhongchang Wang, Chenzheng Guan, Wenxu Lu, Liangchao Yuan, Man Chao, Hai-Liang Zhu, Tingwu Liu

    Published 2025-12-01
    “…Hypochlorous acid (HClO) plays an essential role in physiological and pathological processes, Dysregulated HClO production has been implicated in various disease states. …”
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    Article
  13. 173

    Detectability of Structural Damage to a Lattice Tower using Eigenfrequencies and Gaussian Process Regression by Britt Kahrger, Sören Möller, Clemens Jonscher, Tanja Grießmann, Raimund Rolfes

    Published 2024-12-01
    “…In this real-world case study, damage detectability is investigated using GPs and eigenfrequencies. …”
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    Article
  14. 174
  15. 175

    Unsupervised Process Anomaly Detection and Identification Using the Leave-One-Variable-Out Approach by Jacob A. Farber, Ahmad Y. Al Rashdan

    Published 2025-03-01
    “…This study introduces the leave-one-variable-out (LOVO) model, which masks one variable at a time to predict the others, learning underlying process correlations. Detection performance was assessed with synthetic and experimental data, while identification performance used only synthetic data due to its ability to generate labeled anomaly types. …”
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    Article
  16. 176
  17. 177

    PCR-Based Detection of Genetically Modified Soybean and Maize in Raw and Highly Processed Foodstuffs by C. Tengel, P. Schüßler, E. Setzke, J. Balles, M. Sprenger-Haußels

    Published 2001-08-01
    “…The PCR method has proved to be an invaluable tool for the specific and sensitive detection of genetically modified material (e.g., Roundup Ready™ Soybean and Bt-176 “Maximizer” Maize) in foodstuffs. …”
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    Article
  18. 178

    DNFE: Directed network flow entropy for detecting tipping points during biological processes. by Xueqing Peng, Rui Qiao, Peiluan Li, Luonan Chen

    Published 2025-07-01
    “…Typically, in dynamic biological processes, there is a critical state or tipping point that marks the transition from one stable state to another, surpassing which a considerable qualitative shift takes place. …”
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