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Showing 1 - 20 results of 122 for search '(( significant vector based ) OR ( significant ((spatial decrease) OR (small decrease)) ))', query time: 0.13s Refine Results
  1. 1

    Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

    Published 2025
    “…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. …”
  2. 2

    An Efficient Test Vector Compression Technique Based on Geometric Shapes by Al Zahir, Saif

    Published 2001
    “…The proposed scheme is based on ordering the test vectors in such a way that enables the generation of geometric shapes that can be highly compressed via perfect lossless compression. …”
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  3. 3

    Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

    Published 2019
    “…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
  4. 4

    Differential Flatness-Based Performance Enhancement of a Vector Controlled VSC With an LCL-Filter for Weak Grids by Hassan Abdullah Khalid (16891473)

    Published 2021
    “…<p>In this paper, a novel single-loop flatness-based controller (FBC) is proposed to control the grid-side current in a shunt converter connected to a weak grid through an LCL-filter. …”
  5. 5

    On Test Vector Reordering for Combinational Circuits by El-Maleh, Aiman H.

    Published 2004
    “…In this paper, we propose an efficient test vector reordering technique that significantly reduces both the time and memory complexities of reordering procedures based on fault simulation without dropping. …”
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  6. 6

    On test vector reordering for combinational circuits by El-Maleh, A.H.

    Published 2004
    “…In this paper, we propose an efficient test vector reordering technique that significantly reduces both the time and memory complexities of reordering procedures based on fault simulation without dropping. …”
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  7. 7

    Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems by Local Burden of Disease HIV Collaborators (13279180)

    Published 2021
    “…</p><h3>Conclusions</h3><p dir="ltr">Our subnational estimates of HIV mortality revealed significant spatial variation and diverging local trends in HIV mortality over time and by age. …”
  8. 8

    Hedonic valuation of land protection methods: implications for cluster development. by Kling, Robert

    Published 2014
    “…The key findings of the study are: (i) proximity to national or state park land and to city or county open space has a significant positive impact on property values, while proximity to national forest land or to privately conserved land exhibits no significant effects; and, (ii) inclusion of a property within a cluster development decreases its value by 17 to 26 %. …”
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  9. 9

    Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

    Published 2022
    “…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …”
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. This is acutely exemplified by the engineering of the NLuc <u>luciferase</u>, which is small in size and displays much enhanced bioluminescence and<u> thermal stability</u> compared to previously available luciferases. …”
  12. 12

    An enhanced ensemble deep random vector functional link network for driver fatigue recognition by Ruilin Li (5627456)

    Published 2023
    “…<p>This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. …”
  13. 13

    SARS‐CoV‐2 infection triggers more potent antibody‐dependent cellular cytotoxicity (ADCC) responses than mRNA‐, vector‐, and inactivated virus‐based COVID‐19 vaccines by Hadeel T. Zedan (12535521)

    Published 2024
    “…We analyzed ADCC activity targeting SARS‐CoV‐2 spike (S) and nucleocapsid (N) proteins in convalescent sera following WT SARS‐CoV‐2‐infection (<i>n</i> = 91), including symptomatic and asymptomatic infections, omicron‐infection (<i>n</i> = 8), COVID‐19 vaccination with messenger RNA‐ (mRNA)‐ (BNT162b2 or mRNA‐1273, <i>n</i> = 77), adenovirus vector‐ (<i>n</i> = 41), and inactivated virus‐ (<i>n</i> = 46) based vaccines, as well as post‐mRNA vaccination BTI caused by omicron (<i>n</i> = 28). …”
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    Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test by Hasan T. Abbas (8115014)

    Published 2019
    “…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …”
  18. 18

    Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

    Published 2022
    “…The developed techniques are based on Support Vector Machine (SVM) model to improve the diagnosis of WEC systems. …”
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    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment by Ikhlas Ghiat (16932564)

    Published 2023
    “…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”