Showing 121 - 140 results of 946 for search '(( significant ((step decrease) OR (a decrease)) ) OR ( significant application analysis ))', query time: 0.13s Refine Results
  1. 121

    The Economic Impact of Artificial Intelligence on Optimizing Drug Utilization and Reducing Waste in Outpatient Pharmacy Settings: A Meta-Analysis by Aljabri, Sara Jaber

    Published 2023
    “…Despite some heterogeneity and potential publication bias, this analysis emphasizes the potential of AI applications to contribute to cost-effectiveness and sustainability in healthcare. …”
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  2. 122

    Assessing and predicting land cover dynamics for environmental sustainability in Jordan's arid ecosystems using CA-Markov model by Rana N. Jawarneh (18180424)

    Published 2024
    “…This study offers a comprehensive and innovative analysis of LULC changes in Jordan's arid ecosystems. …”
  3. 123

    Multivariate analysis for FTIR in understanding treatment of used cooking oil using activated carbon prepared from olive stone by Sara M. Alshuiael (8882051)

    Published 2020
    “…The principal component analysis results showed significant variations in the oxidation level of the sunflower and the corn oils occurred after consecutive heating and French fries frying for 10 days. …”
  4. 124

    Performance analysis of a new PV array reconfiguration approach: Simulations and outdoor experiments under fixed and moving shadows by Abinisha Thiruchuthan (23073046)

    Published 2025
    “…<p dir="ltr">Partial shading can significantly impair photovoltaic (PV) array performance in large-scale systems, by reducing power output and increasing the complexity of wiring and maintenance. …”
  5. 125

    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

    Published 2024
    “…The proposed approach effectively incorporates cross-domain deep federated transfer learning (FTL) to leverage local operating data for TSA in a decentralized fashion. By introducing convolutional layers alongside multi-head attention mechanisms, the FLACON framework significantly improves learning efficiency across geographically distributed datasets. …”
  6. 126

    Mutations in L-type amino acid transporter-2 support SLC7A8 as a novel gene involved in age-related hearing loss by Meritxell Espino Guarch (18810097)

    Published 2018
    “…Significant decreases in SLC7A8 transport activity was detected for patient’s variants (p.Val302Ile, p.Arg418His, p.Thr402Met and p.Val460Glu) further supporting a causative role for SLC7A8 in ARHL. …”
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    The Effect of the Variation of the Modulus of Subgrade Reaction on the Design of Large Shallow Foundations by Al Kaaby Al Zoaby, Hassan

    Published 2022
    “…With the use of variable coefficient across the mat foundation, a significant decrease in the steel reinforcement is witnessed and an optimized/ more adapted steel distribution is observed.…”
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    masterThesis
  10. 130

    The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases by Tala Abuarja (17075070)

    Published 2023
    “…</p> <h3>Results</h3> <p>Of the 8 datasets, 3 displayed significant changes in expression patterns after application of the filtering criteria. …”
  11. 131

    A Generative AI Chatbot in High School Advising: A Qualitative Analysis of Domain-Specific Chatbot a ChatGPT by Khalil Assayed, Suha

    Published 2023
    “…All questions were related students’ advising interests including university applications, admission tests, majors and more. The transcribed data were reviewed and examined by using the thematic analysis. …”
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    Evaluating machine learning technologies for food computing from a data set perspective by Nauman Ullah Gilal (17302714)

    Published 2023
    “…It has recently become an important focus of multimedia and social media applications. The rapid increase of available image data and the fast evolution of artificial intelligence, paired with a raised awareness of people’s nutritional habits, have recently led to an emerging field attracting significant attention, called food computing, aimed at performing automatic food analysis. …”
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