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A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm
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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Information Theory and Construction Methods of Complex Perception Systems
Published 2025-06-01Get full text
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A paradigm shift in the detection of bloodborne pathogens
Published 2024-10-01Get full text
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Improved method for a pedestrian detection model based on YOLO
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
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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Social Network Analysis: A Novel Paradigm for Improving Community Detection
Published 2025-04-01Get full text
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Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations
Published 2023-01-01Get full text
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Revisiting Fat Content in Bone Lesions: Paradigms in Bone Lesion Detection
Published 2025-06-01Get full text
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Connecting Droplet Adhesion with Sperm Kinematics: A New Paradigm in Sperm Quality Monitoring
Published 2025-05-01Get full text
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Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies
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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A comprehensive survey on IoT attacks: Taxonomy, detection mechanisms and challenges
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The Method of Minimal Residual Disease Detection With Circulating Tumor DNA and Its Clinical Applications in Colorectal Cancer
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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Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm.
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A Review of Recent Advances, Challenges, and Opportunities in Malicious Insider Threat Detection Using Machine Learning Methods
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
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
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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