Showing 1 - 20 results of 38 for search '(( 5 ppm decrease ) OR ((( 5 fold decrease ) OR ((( _ nn decrease ) OR ( _ ann decrease ))))))', query time: 0.16s Refine Results
  1. 1

    Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems by Khaled Dhibi (16891524)

    Published 2023
    “…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. The proposed methodology improves the diagnosis abilities, reduces the computation time, and decreased the storage cost. …”
  2. 2

    Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers by Madisa V.G., Varaprasad

    Published 2022
    “…The converter's switching pulse can be adjusted by PI or NN. The entire system was designed in MATLAB/ Simulink tool.…”
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  3. 3

    Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle by Jinit Masania (7164239)

    Published 2023
    “…We found both young and aged HSA-mUCP1 mice had decreased advanced glycation endproducts (AGEs) formed from MG, lysine-derived Nε(1-carboxyethyl)lysine (CEL) and arginine-derived hydroimidazolone, MG-H1, whereas protein glycation by glucose forming Nε-fructosyl-lysine (FL) was increased ca. 2-fold, compared to wildtype controls. …”
  4. 4

    Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle by Jinit, Masania

    Published 2023
    “…We found both young and aged HSA-mUCP1 mice had decreased advanced glycation endproducts (AGEs) formed from MG, lysine-derived Nε(1-carboxyethyl)lysine (CEL) and arginine-derived hydroimidazolone, MG-H1, whereas protein glycation by glucose forming Nε-fructosyl-lysine (FL) was increased ca. 2-fold, compared to wildtype controls. …”
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  5. 5

    Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

    Published 2024
    “…However, agricultural areas decreased from 152.13 km<sup>2</sup> (18.5%) in 1980 to 140.38 km<sup>2</sup> (17%) in 2023, while barren lands decreased from 54.44 km<sup>2</sup> (6.6%) in 1980 to 34.71 km<sup>2</sup> (4.22%) in 2023. …”
  6. 6

    Diesel engine vibration analysis using artificial neural networks method: Effect of NH<sub>3</sub> additive in biodiesels by Raja Mazuir Raja Ahsan Shah (17541516)

    Published 2024
    “…The ANN models indicated that a 5 % NH<sub>3</sub> additive decreased engine vibration for HD and PD. …”
  7. 7

    Host Genetic Variants Potentially Associated With SARS-CoV-2: A Multi-Population Analysis by Maria K. Smatti (4675852)

    Published 2020
    “…Remarkably, Africans seem to carry extremely lower frequencies of SARS-CoV-1 susceptibility alleles, reaching to 32-fold decrease compared to other populations.…”
  8. 8

    The molecular mechanisms of apoptosis accompanied with the epigenetic regulation of the NY-ESO-1 antigen in non-small lung cancer cells treated with decitabine (5-aza-CdR) by Varghese P. Inchakalody (14557382)

    Published 2023
    “…The upregulation of 40S ribosomal protein S9 (3-fold), 40S ribosomal protein S15 (4.2-fold), 40S ribosomal protein S18 (2.5-fold), and 60S ribosomal protein L22 (4.4-fold) implied the induction of translation machinery. …”
  9. 9

    Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma, Younes

    Published 2023
    “…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). Among VN individuals, anti-S1 IgA levels began to decrease significantly (1.4-fold; p = 0.007) after two months, and both NtAb and S-RBD IgG levels began to decline significantly (NtAb: 2.0-fold; p = 0.042, S-RBD IgG: 2.4-fold; p = 0.035) after three months. …”
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  10. 10

    Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma Younes (6424865)

    Published 2023
    “…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). Among VN individuals, anti-S1 IgA levels began to decrease significantly (1.4-fold; p = 0.007) after two months, and both NtAb and S-RBD IgG levels began to decline significantly (NtAb: 2.0-fold; p = 0.042, S-RBD IgG: 2.4-fold; p = 0.035) after three months. …”
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  12. 12

    Aortic valve function post-replacement of severe aortic stenosis by transcatheter procedure versus surgery: a systematic review and metanalysis by Charbel Abi Khalil (14150028)

    Published 2021
    “…TAVR was associated with 37% (95% CI [0.51–0.78) mean RR reduction of post-procedural PPM, a decrease that was not affected by the surgical risk at inclusion, neither by the transcatheter heart valve system. …”
  13. 13

    Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling by Mohamad Faysal Baalbaki (21547373)

    Published 2024
    “…Removing these producers from the training dataset led to an 10% decrease in ANN performance, highlighting their importance in capturing the non-linear relationship between permeability and production data.…”
  14. 14

    High-Performance Acetic Acid Sensing Using Cerium-MoS₂ Composite for Beverages and Food Processing Industry by E. Safamariyam (22330186)

    Published 2025
    “…Furthermore, the repeatability of the Ce<sub>0.6</sub> -MoS<sub>2</sub> sensor was assessed over 30 days, and a marginal decrease of 5% in response was observed from day 1 to day 30.…”
  15. 15

    Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy by Moayyad Shawaqfah (17280637)

    Published 2021
    “…<p dir="ltr">The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus (SARS-CoV-2) began in September 2019 and continued to March 2020. …”
  16. 16

    Qatar’s immigrants at higher risk of diabetes by Nature Research (16552612)

    Published 2015
    “…Those of South Asian descent had a 13-fold increased risk of having elevated glycated haemoglobin levels, and Filipinos a 4.5-fold increase, compared to the native Arab population. …”
  17. 17

    Ablation of LAT2 Transporter Causes Intramuscular Glutamine Accumulation and Inhibition of Fasting‐Induced Proteolysis by Meritxell Espino‐Guarch (22565774)

    Published 2025
    “…</p><h3>Results</h3><p dir="ltr">LAT2KO mice experienced a notable reduction in body weight during fasting (WT:14% and LAT2KO:18%, <i>p</i> = 0.02), with a greater reduction in fat mass (0.5fold, <i>p</i> = 0.013) and a higher relative retention of muscle mass (1.3‐fold, <i>p</i> = 0.0003) compared with WT. …”
  18. 18

    A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact by Samer Gowid (15955152)

    Published 2020
    “…The results showed a decrease in the MSE of V<sub>mp</sub> by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I<sub>mp</sub> by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …”
  19. 19

    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

    Published 2024
    “…The effectiveness has been evaluated using two standard datasets called G1020 and ORIGA with the $$10 \times 5$$-fold stratified cross-validation technique to ensure reliable evaluation. …”
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    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

    Published 2020
    “…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”