Showing 181 - 200 results of 210 for search '(( element rl algorithm ) OR ((( experiments using algorithm ) OR ( neural coding algorithm ))))', query time: 0.11s Refine Results
  1. 181
  2. 182

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
    “…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as Ordered Labeled Trees. …”
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    article
  3. 183

    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics by Tekli, Joe

    Published 2011
    “…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. …”
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    article
  4. 184

    Approximate XML structure validation based on document–grammar tree similarity by Tekli, Joe

    Published 2015
    “…We implemented a prototype and conducted several experiments on large sets of real and synthetic XML documents and grammars. …”
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  5. 185

    Defining quantitative rules for identifying influential researchers: Insights from mathematics domain by Ghulam Mustafa (458105)

    Published 2024
    “…The rules were developed for each parameter category using the Decision Tree Algorithm, which achieved an average accuracy of 70 to 75 percent for identifying awardees in mathematics domains. …”
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  8. 188

    Approximate XML structure validation technical report by Tekli, Joe

    Published 2014
    “…We implemented a prototype and conducted several experiments on large sets of real and synthetic XML documents and grammars. …”
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    article
  9. 189

    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS by Tekli, Joe

    Published 2018
    “…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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    article
  10. 190

    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…<h3>Background</h3><p dir="ltr">Artificial intelligence (AI)–driven serious games have been used in health care to offer a customizable and immersive experience. …”
  11. 191

    An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids by Ifeoluwa Wole-Osho (14151315)

    Published 2020
    “…A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. The adaptive neuro-fuzzy inference system model was most accurate in forecasting the thermal conductivity of the Al<sub>2</sub>O<sub>3</sub>–ZnO hybrid nanofluid with an R<sup>2</sup> value of 0.9946.…”
  12. 192

    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators by Abu Zitar, Raed

    Published 2021
    “…Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …”
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  13. 193

    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations by Abbas, Nadine Fawaz

    Published 2017
    “…We then extend our work to address real-time trac splitting decisions capturing the tradeo↵ between queue stability, energy consumption, and quality of experience for video streaming applications. The proposed strategies are evaluated using simulations and experimental test bed measurements under realistic operational conditions. …”
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    masterThesis
  14. 194

    A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks by Yassine Himeur (14158821)

    Published 2022
    “…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. The latter is used to draw out load characteristics using daily intent-driven moments of user consumption actions. …”
  15. 195

    Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions by Alaa Abd-alrazaq (17058018)

    Published 2023
    “…However, we also critically examine the challenges that such integration might pose by addressing issues of algorithmic bias, overreliance, plagiarism, misinformation, inequity, privacy, and copyright concerns in medical education. …”
  16. 196

    Extracranial traumatic carotid artery dissections in children by Chamoun, Roukoz B.

    Published 2008
    “…There was little published experience with CA ultrasonography or CT angiography for diagnosis. …”
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    article
  17. 197

    Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah (21399854)

    Published 2024
    “…The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”
  18. 198

    Creating and detecting fake reviews of online products by Joni Salminen (7434770)

    Published 2022
    “…<p>Customers increasingly rely on reviews for product information. However, the usefulness of online reviews is impeded by fake reviews that give an untruthful picture of product quality. …”
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    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

    Published 2024
    “…However, the exorbitant expenses associated with 7T MRI scanners hinder their broad use in research and clinical facilities. Efforts are underway to develop algorithms that can generate 7T MRI from 3T MRI to achieve better image quality without the need for 7T MRI machines. …”