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Showing 141 - 160 results of 438 for search '(( image testing algorithm ) OR ((( develop based algorithm ) OR ( relevant data algorithm ))))', query time: 0.12s Refine Results
  1. 141
  2. 142

    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    “…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …”
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  3. 143
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  5. 145

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

    Published 2024
    “…It calculates the dimension relevance with various data instances. These further place the relevant dimension samples in one group. …”
  6. 146

    Assessment of four dose calculation algorithms using IAEA-TECDOC-1583 with medium dependency correction factor (K<sub>med</sub>) application by Aram Rostami (22045274)

    Published 2024
    “…K<sub>med</sub> is calculated for D<sub>m.m</sub> and D<sub>w.w </sub>algorithm types in bone and lung media for both photon beams. …”
  7. 147

    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
    “…Our analysis reveals that LLMs significantly enhance code completion performance across several programming languages and contexts, and their capability to predict relevant code snippets based on context and partial input boosts developer productivity substantially.…”
  8. 148

    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

    Published 2022
    “…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …”
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    DRL-Based IRS-Assisted Secure Visible Light Communications by Danya A. Saifaldeen (19498705)

    Published 2022
    “…The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. …”
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    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services by ALBARGHOTHI, ALI BAHA’EDDIN

    Published 2018
    “…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …”
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  15. 155

    Deep learning-based user experience evaluation in distance learning by Rahim Sadigov (17714301)

    Published 2023
    “…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …”
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    Hybrid Deep Learning-based Models for Crop Yield Prediction by Alexandros Oikonomidis (12050497)

    Published 2022
    “…In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria. …”
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    Towards a Unified Arabic Government Services Chatbot Based on Ontology by Areed, Sufyan

    Published 2020
    “…These results confirmed that the performance of the proposed algorithm could outperform both a previously developed chatbot-based on ontology and Rashid chatbot as well.…”
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  20. 160

    An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche (19563184)

    Published 2021
    “…Such algorithms are state‐of‐the‐art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …”