Showing 15,281 - 15,300 results of 46,288 for search '(( 50 ((a decrease) OR (we decrease)) ) OR ( 5 ((step decrease) OR (mean decrease)) ))', query time: 0.81s Refine Results
  1. 15281

    IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  2. 15282

    RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  3. 15283

    CICID2017 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  4. 15284

    Shows the basic architecture of an autoencoder. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  5. 15285

    Architecture of deep neural networks. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  6. 15286

    Proposed model framework. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  7. 15287

    WUSTL-EHMS-2020 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  8. 15288

    Cell motility depends on a QSF secreted by cells. by Laurent Golé (198154)

    Published 2011
    “…Cells were recorded during 50 min, 1.5 hours after cells were washed in a fresh HL5 medium. …”
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    Effects of GSI treatment on MAPK, PI3K/AKT and NF-κB pathway activation in LPS/IC-activated macrophages. by Wipawee Wongchana (5367968)

    Published 2018
    “…The arrows indicate cells with decreased or no p50 nuclear translocation (green). …”
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    The mitochondrial H<sup>+</sup> gradient of hypothermic brain mitochondria is reduced relative to physiological temperature. by Matthew E. Pamenter (111599)

    Published 2018
    “…<p><b>(A)</b> Hypothermic (black circles) brain H<sup>+</sup> flux and oxygen consumption are equally coupled but reduced in magnitude relative to at physiological temperature (open circles). <b>(B)</b> Percent decrease of mitochondrial respiration, and <b>(C)</b> mitochondrial membrane potential with step-wise addition of malonate. …”
  13. 15293

    Transcript and protein expression levels of IDE (A, C), PLAU (B, D), GSK-3β (E, G) and CDK5 (F, H) in MS and MS9II cells. by Yanlin Wang (110566)

    Published 2014
    “…Immunoblots and respective histograms showing marked increase in protein levels of GSK-3β (G) and CDK5 (H) in MS9II cells. The protein levels were normalized to the β-actin and the values from four different experiments are expressed as means ± SEM, *<i>p</i><0.05, **<i>p</i><0.01.…”
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    Fig 1 - by Gilda Cennamo (448296)

    Published 2020
    “…</b> Left eye of a patient (50 years-old female) with pitituary adenoma before surgery reveals a reduction of vessel density in SCP (A1), DCP (B1), RPC (C1) and an increase of FAZ area (D1) respect to healthy subject. …”
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