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Showing 281 - 300 results of 1,104 for search '(( significant models based ) OR ( significant ((we decrease) OR (linear decrease)) ))', query time: 0.11s Refine Results
  1. 281

    Modular Isolated DC-DC Converters for Ultra-Fast EV Chargers: A Generalized Modeling and Control Approach by Mena ElMenshawy (18810244)

    Published 2020
    “…The generalized model is verified with three different architectures. …”
  2. 282

    COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar by Jayaprakash Saththasivam (14151669)

    Published 2021
    “…SARS-CoV-2 RNA was detected in 100% of the influent wastewater samples (7889 ± 1421 copy/L – 542,056 ± 25,775 copy/L, based on the N1 assay). A mathematical model for wastewater-based epidemiology was developed and used to estimate the number of people in the population infected with COVID-19 from the N1 Ct values in the wastewater samples. …”
  3. 283

    Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

    Published 2024
    “…The graph representation of the authentic and manually curated dataset will open ways for the development of computational models that could identify the significance of a chain and a narrator. …”
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    A machine learning-based optimization approach for pre-copy live virtual machine migration by Raseena M. Haris (17773470)

    Published 2023
    “…The experiment results show that our proposed model outperforms other machine learning models in terms of prediction accuracy and it significantly reduces downtime or service unavailability during the migration process.…”
  7. 287

    GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review by Md. Sulyman Islam Sifat (22928983)

    Published 2025
    “…In this work, we conduct a literature review to systematically examine GAN-based data augmentation techniques for fault diagnosis and prognosis of rolling bearings. …”
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    Effects and Perceptions of Game-Based Formative Assessment on Vocabulary Acquisition in EFL Primary Classrooms in the UAE by ALABEDI, FARAH

    Published 2023
    “…Constructivist learning theory, input-process-outcome game-based learning model, computer assisted language learning (CALL), mobile assisted language learning (MALL), and technology acceptance model (TAM) were used as theoretical frameworks to understand the impact of GBFA, specifically Quizlet, on students’ vocabulary learning to get a holistic picture of students’ as well as teacher’s perceptions of the implementation of Quizlet for vocabulary learning. …”
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    Facile Ultrasound-Triggered Release of Calcein and Doxorubicin from Iron-Based Metal-Organic Frameworks by Ibrahim, Mihad

    Published 2020
    “…In this work, newly developed iron-based MOFs, namely Fe-NDC nanorods, were investigated as potential nanocarriers for calcein (as a model drug/dye) and Doxorubicin (a chemotherapeutic drug (DOX)). …”
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    article
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    Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

    Published 2015
    “…</p><h3>Results</h3><p dir="ltr">The authors have already proposed an optimal experimental design method based upon the objective for modeling gene regulatory networks, such as deriving therapeutic interventions. …”
  16. 296

    Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator by Fatemeh Negar Irani (22302835)

    Published 2024
    “…A <u>deep neural network</u>-based transfer learning framework is proposed for realizing a precise adaptive linear model called the deep transfer linear (DTL) model enabling reliable prediction of the system’s behavior in various situations and designing structured fault residuals. …”
  17. 297

    Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset by Heesoo Park (1604989)

    Published 2021
    “…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. Our strategy may significantly accelerate the large-scale deployment of photocatalysts as a promising route to mitigate fomite transmission of pathogens (bacteria, viruses, fungi) in hospital settings and public places.…”
  18. 298

    3D GEOSTATISTICAL MODELING OF FACIES AND PETROPHYSICAL PROPERTIES OF THE UPPER KHARTAM OUTCROP OF KHUFF FORMATION, CENTRAL SAUDI ARABIA by Makkawi, Mohammad

    Published 2020
    “…Oolitic grainstones can contain significant hydrocarbon reserves. The heterogeneity in carbonate reservoir ascribes to the depositional and digenetic processes. …”
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    masterThesis
  19. 299

    Factors Affecting Cybersecurity Behaviour in the Metaverse: A Hybrid SEM-ANN Approach Based on Deep Learning by ALMANSOORI, AFRAH

    Published 2023
    “…The empirical data were analysed using a deep learning-based hybrid Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) Approach. …”
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  20. 300

    Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model by Thottolil, Rahisha

    Published 2023
    “…This study addresses the complexities of predicting road network density for small and medium-sized Indian cities that come under the Integrated Development of Small and Medium Towns (IDSMT) project at a national level. A hybrid framework based on Kernel Ridge Regression (KRR) and the CityGAN model is introduced to predict network density using spatial indicators of human settlements. …”
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