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  1. 3341

    Pneumonia detection from X-ray images using federated learning–An unsupervised learning approach by Neeta Rana, Hitesh Marwaha

    Published 2025-02-01
    “…Fortunately, data analysis techniques are now widely employed to address a multitude of medical disease detection. This paper presents a novel Pneumonia disease detection model by analyzing the chest X-ray data. …”
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    ANALYSIS OF MONITORING STUDIES ON AFRICAN SWINE FEVER VIRUS DNA DETECTION CARRIED OUT IN 2017 by D. N. Fedoseyeva, Ye. V. Aronova, A. A. Varentsova, A. A. Yelsukova, Ali Mazloum, D. V. Sharypova, N. N. Vlasova, A. S. Igolkin

    Published 2018-10-01
    “…The paper describes the results of testing of biomaterial from domestic pigs and wild boars by real-time PCR used for African swine fever virus genome detection, carried out in the FGBI “Federal Centre for Animal Health” (Vladimir). …”
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    Detection of Erythropoietin in Exhaled Breath Condensate of Nonhypoxic Subjects Using a Multiplex Bead Array by Christian Schumann, Kathy Triantafilou, Stefan Krueger, Vinzenz Hombach, Martha Triantafilou, Gunther Becher, Philipp M. Lepper

    Published 2006-01-01
    “…As a noninvasive method, exhaled breath condensate (EBC) has gained importance to improve monitoring of lung diseases and to detect biomarkers. The aim of the study was to investigate, whether erythropoietin (EPO) is detectable in EBC. …”
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  10. 3350

    Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP. by Sajid Mehmood, Rashid Amin, Jamal Mustafa, Mudassar Hussain, Faisal S Alsubaei, Muhammad D Zakaria

    Published 2025-01-01
    “…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …”
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  11. 3351

    Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

    Published 2025-01-01
    “…The network intrusion detection system (NIDS) plays a critical role in maintaining network security. …”
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  12. 3352

    Microgrid Islanding Detection Using D-PMU and Phase Angle Analysis of Negative Sequence Impedance by Asim Chaulagain, Ramakrishna Gokaraju, Nurul Chowdhury, Krish Narendra

    Published 2025-01-01
    “…Unintentional islanding detection is a major challenge during the operation of a microgrid. …”
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  13. 3353

    Endogenous Murine Leukemia Viruses: Relationship to XMRV and Related Sequences Detected in Human DNA Samples by Oya Cingöz, John M. Coffin

    Published 2011-01-01
    “…Here, we review the relationship of the human and mouse virus isolates and discuss the potential complications associated with the detection of MLV-like sequences from clinical samples.…”
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    Electrochemical Detection of Cadmium and Lead in Rice on Manganese dioxide Reinforced Carboxylated Graphene Oxide Nanofilm by Ali Osman Solak, Aslı Erkal, Zafer Üstündağ, İlknur Üstündağ

    Published 2018-12-01
    “…A linear response was found for theheavy metals in the range from 5 to 100 mg/L. The limit of detections (LODs) of Cd2+ andPb2+ were 0.04 mg/L and 0.08 mg/L respectively. …”
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  18. 3358

    Evaluation of Hydrophilized Graphite Felt for Electrochemical Heavy Metals Detection (Pb2+, Hg2+) by Laila Bouabdalaoui, Benjamin Le Ouay, Thibaud Coradin, Christel Laberty-Robert

    Published 2015-01-01
    “…Hydrophilized graphite felt has been used, for the first time, for the electrochemical detection of Hg2+ ions both as single metal species and via its simultaneous detection with Pb2+. …”
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  19. 3359

    Targeted Next-Generation Sequencing in Pneumonia: Applications in the Detection of Responsible Pathogens, Antimicrobial Resistance, and Virulence by Liu B, Bao Z, Chen W, Xi X, Ge X, Zhou J, Zheng X, Zhang P, Deng W, Ding R, Zhou M, Fang J

    Published 2025-01-01
    “…A total of 144 virulence genes were detected for four common pathogens. And patients with virulence genes detected were of higher proportions of severe pneumonia (95.0% vs 42.9%, P = 0.009), acute respiratory distress syndrome (55.0% vs 0%, P = 0.022), and neutrophils (82.3% vs 62.2%, P = 0.026) than those not.Conclusion: In patients with pneumonia, tNGS could detect the responsible pathogens, AMR genes, and virulence genes simultaneously, serving as an efficient and cost-effective tool for the diagnosis, treatment, and severity indication of pneumonia.Keywords: targeted next-generation sequencing, pneumonia, pathogen, antimicrobial resistance, virulence…”
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