Showing 521 - 540 results of 55,072 for search '"model"', query time: 0.14s Refine Results
  1. 521

    Data Visualization and Prediction Model Analysis by Hua Ziyi

    Published 2025-01-01
    “…The purpose of this paper is to study the application of data visualization and compare different prediction models. In this work, I present three different prediction models and apply them on the US airline industry datasets by using Python as the programming language. …”
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    Article
  2. 522
  3. 523

    Model kreowania zintegrowanego wizerunku przedsiębiorstwa by Anna Dewalska-Opitek

    Published 2010-05-01
    “…Studia nad literaturą przedmiotu dowodzą możliwości budowania image’u korporacyjnego w obu obszarach (zewnętrznym i wewnętrznym) w oparciu o uniwersalny model, co prowadzi do wykreowania zintegrowanego, kompleksowego wizerunku przedsiębiorstwa.…”
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    Article
  4. 524

    Improved integrate-and-fire model for RSA by Michele Barbi, Angelo Di Garbo, Rita Balocchi

    Published 2007-07-01
    Subjects: “…stochastic operational model…”
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    Article
  5. 525
  6. 526

    Modelling and Simulation of the Spread of HBV Disease. by Niyirora, Ignatius

    Published 2024
    “…The study was to model and simulation of the spread of HBV disease. …”
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    Thesis
  7. 527

    Mathematical Model for The Transmission of Malaria In Uganda. by Lusambya, Robert

    Published 2024
    Subjects: “…Mathematical Model…”
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    Thesis
  8. 528

    A Mathematical Model For The Dynamics of Polio. by Owobusingye, Johnan

    Published 2024
    Subjects: “…Mathematical Model…”
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    Thesis
  9. 529

    A Mathematical Model for the Dynamics of Polio by Johnan, Owobusingye

    Published 2022
    Subjects: “…A Mathematical Model, Dynamics , Polio…”
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    Thesis
  10. 530

    Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study by Lambert, Charlotte, Virgili, Auriane

    Published 2023-04-01
    “…Species distribution models (SDM) are widely used to describe and explain how species relate to their environment and predict their spatial distributions. …”
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    Article
  11. 531

    Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods by Sahika Betul Yayli, Kutay Kılıç, Salih Beyaz

    Published 2025-02-01
    “…PurposeThis study aims to classify Kellgren–Lawrence (KL) osteoarthritis stages using knee anteroposterior X-ray images by comparing two deep learning (DL) methodologies: a traditional single-model approach and a proposed multi-model approach. …”
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    Article
  12. 532

    CFD Analysis of a Void Distribution Benchmark of the NUPEC PSBT Tests: Model Calibration and Influence of Turbulence Modelling by E. Krepper, R. Rzehak

    Published 2012-01-01
    “…First, relevant aspects of the implemented wall boiling model are reviewed highlighting the uncertainties in several model parameters. …”
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    Article
  13. 533
  14. 534

    Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

    Published 2020-01-01
    “…The capability of the extreme learning machine (ELM) model in modeling stochastic, nonlinear, and complex hydrological engineering problems has been proven remarkably. …”
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    Article
  15. 535
  16. 536

    Cutting Edge PBPK Models and Analyses: Providing the Basis for Future Modeling Efforts and Bridges to Emerging Toxicology Paradigms by Jane C. Caldwell, Marina V. Evans, Kannan Krishnan

    Published 2012-01-01
    “…Physiologically based Pharmacokinetic (PBPK) models are used for predictions of internal or target dose from environmental and pharmacologic chemical exposures. …”
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    Article
  17. 537
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  19. 539

    Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

    Published 2022-01-01
    “…To alleviate this problem, a hidden Markov model-Bayesian network (HMM-BN) hybrid model is proposed to alleviate the local optimum problem in the EM algorithm and diagnose the fault root cause variable. …”
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    Article
  20. 540