Showing 181 - 200 results of 14,936 for search '"NO99"', query time: 0.07s Refine Results
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    ATR FTIR技术在赛加羚羊角鉴别中的应用分析 by 刘闯李超金煜

    Published 2019-01-01
    “…利用衰减全反射红外光谱技术,对赛加羚羊等3个物种共49份相关样本进行检测、分析并计算其相关系数,结果:同支羚羊角壳不同取样部位红外光谱相关系数为96.69%—99.43%;不同羚羊角壳相同取样部位红外光谱相关系数为94.24%—99.43%;不同物种角质壳红外光谱相关系数为99.28%—99.47%;羚羊角壳与其骨质芯混合物红外光谱随角骨比例变化,骨质成分越多,其红外光谱与羚羊角壳红外光谱的相关系数越低。…”
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    A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

    Published 2024-01-01
    “…Experimental results are obtained and comparative analysis among 7 well-known CNN Network architectures (AlexNet, VGGNet, Inception, ResNet-50, ResNet-18, Inception and DenseNet-121) is also performed that demonstrated that the proposed platform achieved comparatively high accuracy (99.95%), precision (99.92%), recall (99.92%), F1-Score (99.90%), sensitivity (99.92%) and specificity (99.97%). …”
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  7. 187

    Genotypic and Phenotypic Characterizations of Methicillin-Resistant Staphylococcus aureus (MRSA) on Frequently Touched Sites from Public Hospitals in South Africa by Siyethaba Mkhize, Daniel G. Amoako, Christiana O. Shobo, Oliver T. Zishiri, Linda A. Bester

    Published 2021-01-01
    “…Out of these, 89.9% (89/99) were confirmed to be MRSA. The sites with the highest prevalence were the occupied beds (16.2% (16/99)), unoccupied beds (16.2% (16/99)), patient files (14.1% (14/99)), ward phones (13.1% (13/99)), and nurses’ tables (14.1% (14/99)). …”
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    Feasibility and Field Performance of a Simultaneous Syphilis and HIV Point-of-Care Test Based Screening Strategy in at Risk Populations in Edmonton, Canada by Joshua Bergman, Jennifer Gratrix, Sabrina Plitt, Jayne Fenton, Chris Archibald, Tom Wong, Ameeta E. Singh

    Published 2013-01-01
    “…Test characteristics for the INSTI HIV-1/HIV-2 Antibody Test had a 100.0% sensitivity [CI (39.8–100.00], 99.8 specificity [CI (99.3–100)], 66.7% PPV [CI (22.3–95.7)], and 100.0% NPV [CI (99.6–100.0)]. …”
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    Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning by Jianye Zhou, Xinyu Yang, Lin Zhang, Siyu Shao, Gangying Bian

    Published 2020-01-01
    “…The dataset shows that the test accuracy is 99.99%, achieving a significant improvement from 98.07% to 99.99%.…”
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    Optimizing Credit Card Fraud Detection: A Genetic Algorithm Approach with Multiple Feature Selection Methods by Sunil Kumar Patel, Devina Panday

    Published 2024-12-01
    “…LR achieved an accuracy of 99.89 %, DT outperformed with an accuracy of 99.936 %, and RF yielded a high accuracy of 99.932 %, whereas GA-RF (a5) achieved an accuracy of 99.98 %. …”
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  19. 199

    A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

    Published 2025-02-01
    “…The proposed hybrid (KMS + PCA + RFC) approach achieves remarkable performance, with an accuracy of 99.94% and an f1-score of 99.94% on the WSN-DS dataset. …”
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  20. 200

    Study on Temporal and Spatial Evolution of Extreme Precipitation in Niululing Reservoir Basin of Hainan Province by XIAO Jing, MO Shuping, LIN Youwen, XIE Weining

    Published 2023-01-01
    “…According to the precipitation data of 11 rainfall stations from 1979 to 2020,the Mann-Kendall (MK) trend test,moving t-test,and wavelet analysis were used to analyze the spatial distribution,trend,abrupt changes,and periodicity of eight extreme precipitation indicators in Niululing Reservoir Basin.The results show that:①PRCPTOT,SDII,R50,and R100 in the basin gradually increase from upstream to downstream,and the spatial distribution of other indicators has no significant regularity.②The eight extreme precipitation indicators diverge in trend and fail the MK test.The PRCPTOT,CWD,R50,and R99PTOT show an increasing trend,while the other indicators show a decreasing trend.③The PRCPTOT,SDII,R50,and R100 in the basin had abrupt changes in 2008,and CWD,Rx1day,and Rx3day had abrupt changes in 1999,1998,and 2006,respectively.R99PTOT underwent abrupt changes in 1998 and 2015.④There are two or three periodic signals in the eight extreme precipitation indicators in the basin.Except R100 and R99PTOT,the average periods of the first and second periods of the other six extreme precipitation indicators are 19 a and 14 a,and those of R100 and R99PTOT are 10 a and 19 a.…”
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