يعرض 121 - 140 نتائج من 412 نتيجة بحث عن '(( elements per algorithm ) OR ((( based deep algorithm ) OR ( data processing algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 121

    Process Mining over Unordered Event Streams حسب Awad, Ahmed

    منشور في 2020
    "…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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    Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

    منشور في 2023
    "…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
  6. 126

    DRL-Based IRS-Assisted Secure Visible Light Communications حسب Danya A. Saifaldeen (19498705)

    منشور في 2022
    "…Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. …"
  7. 127

    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

    منشور في 2023
    "…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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  8. 128

    Spider monkey optimizations: application review and results حسب Abualigah, Laith

    منشور في 2024
    "…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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  9. 129

    Sentiment visualization of correlation of loneliness mapped through social intelligence analysis حسب Hurmat Ali Shah (18192889)

    منشور في 2024
    "…Social media platforms have become a valuable source of data to study this phenomenon.</p><h3>Objectives</h3><p dir="ltr">This paper aims to visualize the frequency of loneliness-related themes and topics in Twitter data. …"
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    Design and implementation of a deep learning-empowered m-Health application حسب Akhan Akbulut (17380285)

    منشور في 2023
    "…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. The final phase displays the confidence rates on the mobile application. …"
  13. 133

    Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…<p>Deep learning (DL)-based PV Power Forecasting (PVPF) emerged nowadays as a promising research direction to intelligentize energy systems. …"
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    Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

    منشور في 2023
    "…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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  17. 137

    Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

    منشور في 2022
    "…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …"
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    article
  18. 138

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning حسب MEZAHEM, FATEMA HAMAD

    منشور في 2022
    "…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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  19. 139

    A hybrid graph representation for recursive backtracking algorithms حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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    conferenceObject
  20. 140

    The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

    منشور في 2023
    "…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…"