يعرض 701 - 720 نتائج من 720 نتيجة بحث عن '(( element could algorithm ) OR ((( data processing algorithm ) OR ( based methods algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 701

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

    منشور في 2022
    "…</p> <h2>Conclusion</h2> <p> Genetic algorithms can be used along with finite element analysis and zigzag cutouts to tune the band gap of plates subjected to base-excitations. …"
  2. 702

    Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

    منشور في 2023
    "…Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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  3. 703

    Automated systems for diagnosis of dysgraphia in children: a survey and novel framework حسب Jayakanth Kunhoth (14158908)

    منشور في 2024
    "…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"
  4. 704

    Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter حسب Yahia, Mohamed

    منشور في 2020
    "…The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. …"
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    article
  5. 705

    Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review حسب Daksh Dave (17949239)

    منشور في 2025
    "…Artificial intelligence (AI), with its ability to process vast amounts of data and detect intricate patterns, offers a solution to the limitations of traditional mammography, including missed diagnoses and false positives. …"
  6. 706

    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling حسب Majed Hadid (17148364)

    منشور في 2022
    "…<div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. …"
  7. 707

    FoGMatch حسب Arisdakessian, Sarhad

    منشور في 2019
    "…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …"
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    masterThesis
  8. 708
  9. 709

    MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network حسب Sakib Mahmud (15302404)

    منشور في 2022
    "…Leave-one-out cross-validation method was used in this work. The performance of the deep learning models is measured using three well-known performance matrices viz. mean absolute error (MAE)-based construction error, the difference in the signal-to-noise ratio (ΔSNR), and percentage reduction in motion artifacts (<i>η</i>). …"
  10. 710

    Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

    منشور في 2016
    "…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …"
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    masterThesis
  11. 711
  12. 712

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

    منشور في 2024
    "…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"
  13. 713

    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem حسب Habchi, Wassim

    منشور في 2008
    "…The complexity is the same as for classical algorithms, but an improved convergence rate, a reduced size of the problem and a sparse Jacobian matrix are obtained. …"
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    article
  14. 714

    Approximate XML structure validation technical report حسب Tekli, Joe

    منشور في 2014
    "…Our method also inherently performs exact validation by imposing a maximum similarity threshold (minimum edit distance) on the returned results. …"
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    article
  15. 715

    Fine-grain watermarking for intellectual property protection حسب Stefano Giovanni Rizzo (18615112)

    منشور في 2019
    "…The core method is based on homoglyph characters substitution for latin symbols and whitespaces. …"
  16. 716

    Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach حسب Mohammad Taghi Dabiri (16904658)

    منشور في 2023
    "…Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …"
  17. 717
  18. 718

    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters حسب Sakib Mahmud (15302404)

    منشور في 2025
    "…We combine features from all three modes of MMF-NIOM to achieve a state-of-the-art non-intrusive occupancy classification performance of 91.5 % accuracy and 91.5 % f1-score, approximately, by an ensemble of fine-tuned classifiers on the electricity consumption & occupancy (ECO) dataset. The proposed method is sustainable, robust, adaptable to various households, and can be mass-implemented within smart meters at a much lower cost and effort compared to the traditional internet of things (IoT)-based intrusive systems.…"
  19. 719

    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis حسب Hassan, Ali

    منشور في 2023
    "…We thus propose Con-Detect—a Contribution based Detection method—for detecting adversarial attacks against NLP classifiers. …"
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    article
  20. 720

    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis حسب Hassan Ali (3348749)

    منشور في 2023
    "…We thus propose Con-Detect—a Contribution based Detection method—for detecting adversarial attacks against NLP classifiers. …"