Showing 101 - 120 results of 686 for search '(( significant based increase ) OR ( significant ((inter decrease) OR (teer decrease)) ))', query time: 0.13s Refine Results
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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. …”
  3. 103

    The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects by Ilhame Diboun (3522413)

    Published 2022
    “…This pioneering study provides a reliable estimate of FH prevalence in Qatar based on a significantly large population-based cohort, whilst uncovering the spectrum of genetic variants associated with FH.…”
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    Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015) by Azar, Daniel Fadi

    Published 2016
    “…Of the four final complexes Ru-II3, Ru-II2-III, Ru-II-III2 and Ru-III3, only Ru-II3 and Ru-II2-III have shown significant activity against all tested cell lines in the dark, whereas photo-activation against ML2 has shown a marked increase of potency of all four complexes, even those shown to be biologically inert in the dark, reaching IC50 values in the nM range. …”
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    A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

    Published 2025
    “…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”
  12. 112

    Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

    Published 2025
    “…Specifically, the binary classification yielded a 96.58% accuracy with vision-based data, which increased to 97.31% when steering, breathing rate, and heart rate data were included. …”
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    Impact of aluminium acetate particles size on the gelation kinetics of polyacrylamide‐based gels: Rheological and molecular simulation study by Ahmed Hamza (7224470)

    Published 2023
    “…Crosslinkers such as chromium acetate are known to be toxic, and aluminium-based alternatives have been introduced. This study aims to investigate the impact of aluminium acetate (AlAc) particle size on the gelation kinetics of polyacrylamide (PAM)-based gels at a pH of 5 and temperature of 75°C. …”
  15. 115

    Examining engineering students' perceptions of learner agency enactment in problem‐ and project‐based learning using Q methodology by Xiangyun Du (6061697)

    Published 2023
    “…Q methodology was chosen for both qualitative and quantitative data collection and analysis. A 40-item Q set based on a theoretical model of learner agency was used.…”
  16. 116

    Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System by B. Rouabah (17947820)

    Published 2023
    “…Therefore, the use of low-cost photovoltaic (PV) panels in water pumping systems, without chemical energy storage, based on high-performance and more efficient power converters with increased time life and lower maintenance interventions is needed. …”
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    Sustainable food development for societies in hot arid regions: Thermoeconomic assessment of passive-cooled soil-based and hydroponic greenhouses by Omer Abedrabboh (17346847)

    Published 2023
    “…Moreover, heat waves and increasing average ambient temperatures have significantly increased plants' dehydration and death. …”
  19. 119

    Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model by Raseena M. Haris (17773470)

    Published 2024
    “…If there are large numbers of remaining memory pages after a predefined iteration of page transfer, the stop-and-copy phase is initiated, which significantly increases downtime and negatively impacts service availability. …”
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    Co-doped zigzag graphene nanoribbon based gas sensor for sensitive detection of H<sub>2</sub>S: DFT study by Ehab Salih (17075206)

    Published 2021
    “…Particularly, the response of H<sub>2</sub>S to Cu/Zn-ZGNR system demonstrated a significant high value of 48.92%. Therefore, the newly developed co-doped Cu/Zn-ZGNR based gas sensor can be recommended as a highly sensitive H<sub>2</sub>S</p><h2>Other Information</h2><p dir="ltr">Published in: Superlattices and Microstructures<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.spmi.2021.106900" target="_blank">https://dx.doi.org/10.1016/j.spmi.2021.106900</a></p>…”