Showing 1 - 20 results of 372 for search '(method OR methods) detection paradigm', query time: 0.16s Refine Results
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    A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

    Published 2024-12-01
    “…The objective of this work is to perform a comparative analysis of the most used methods based on a signal processing paradigm and in the context of fault detection and process diagnosis. …”
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    Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

    Published 2025-06-01
    “…The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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    Intrusion Detection Systems in Cloud Computing Paradigm: Analysis and Overview by Pooja Rana, Isha Batra, Arun Malik, Agbotiname Lucky Imoize, Yongsung Kim, Subhendu Kumar Pani, Nitin Goyal, Arun Kumar, Seungmin Rho

    Published 2022-01-01
    “…Cloud computing paradigm is growing rapidly, and it allows users to get services via the Internet as pay-per-use and it is convenient for developing, deploying, and accessing mobile applications. …”
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    Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies by Tian ZHENG, Xinheng WANG, Xiaolan PENG, Ning SU, Tianyi XU, Xurong XIE, Jin HUANG, Lun XIE, Feng TIAN

    Published 2024-12-01
    “…This paper systematically reviews the specific methods and applications of these technologies in the detection of NCDs using data collection paradigms, feature extraction, and modeling approaches. …”
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    The Method of Minimal Residual Disease Detection With Circulating Tumor DNA and Its Clinical Applications in Colorectal Cancer by Ming Liu, Tianhao Mu, Jia Gu, Mingyan Xu, Shifu Chen

    Published 2025-03-01
    “…Conclusion It is foreseeable that more sensitive, flexible, and economical MRD detection methods will emerge with the deeper research on cell‐free DNA (cfDNA) genomics, fragmentomics, methylomes, and nucleosome imprinting. …”
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    A Review of Recent Advances, Challenges, and Opportunities in Malicious Insider Threat Detection Using Machine Learning Methods by Fatima Rashed Alzaabi, Abid Mehmood

    Published 2024-01-01
    “…In conclusion, this survey not only underscores the urgency of addressing insider threats but also provides a roadmap for the adoption of advanced methodologies to enhance detection and mitigation capabilities in contemporary cybersecurity paradigms.…”
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    Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm by Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani

    Published 2025-03-01
    “…This article proposes a new IDS based on a hybrid method of metaheuristic and deep learning techniques, namely, the flower pollination algorithm (FPA) and deep neural network (DNN), with an ensemble learning paradigm. …”
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    Network-Centric Methods Management by V. A. Ivanyuk, N. M. Abdikeyev, F. F. Patshenko, N. V. Grineva

    Published 2017-03-01
    “…This paper explores the possibilities of the use of centralized network approach to detecting and countering crises in the economy. In the study the examples showing the scope of effective application-centric methods and approaches were offered. …”
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