يعرض 581 - 600 نتائج من 845 نتيجة بحث عن '(( models using algorithm ) OR ((( recent finding algorithm ) OR ( level using algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 581

    Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks حسب Muhammed Al-Ali (16810677)

    منشور في 2023
    "…The proposed solution was compared with three puncturing baseline reference algorithms and the performance was evaluated in terms of eMBB Sum throughput and Fairness level. …"
  2. 582
  3. 583

    Evolutionary support vector regression for monitoring Poisson profiles حسب Ali Yeganeh (16624998)

    منشور في 2023
    "…This paper aims to monitor Poisson profile monitoring problem in Phase II and develops a new robust control chart using support vector regression by incorporating some novel input features and evolutionary training algorithm. …"
  4. 584
  5. 585
  6. 586

    Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer حسب Hibah Shaath (5599658)

    منشور في 2021
    "…Our data provides a step towards finding a novel diagnostic lncRNA-based panel for TNBC with potential therapeutic implications.…"
  7. 587
  8. 588

    Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem حسب Assaker, Guy

    منشور في 2016
    "…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
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    article
  9. 589
  10. 590

    KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

    منشور في 2021
    "…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"
  11. 591
  12. 592

    Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine حسب Shomope, Ibrahim

    منشور في 2024
    "…Extensive data collection and preprocessing were performed. RF and SVM models were trained and evaluated using mean absolute error (MAE), mean squared error (MSE), coefficient of determination (R²), and the a20 index as performance metrics. …"
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    article
  13. 593

    Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

    منشور في 2025
    "…For matched testing data, the proposed system offers an improvement of 1.55 points in the perceptual evaluation of speech quality (PESQ) over the unprocessed speech, the highest among the other recent state-of-the-art models used for comparison in this paper. It achieves this performance by utilizing data that is 7 times smaller than that required by other models. …"
  14. 594

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

    منشور في 2021
    "…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …"
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  15. 595
  16. 596
  17. 597

    Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle حسب Korkmaz, Jessica

    منشور في 2025
    "…Afterward, the optimal siting and sizing of capacitor banks (CBs) are performed on the modeled network to alleviate the impacts of the PV DGs using both MATLAB and OpenDSS. …"
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    masterThesis
  18. 598
  19. 599

    Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

    منشور في 2022
    "…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …"
  20. 600

    Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem حسب Tao Li (86810)

    منشور في 2025
    "…A mixed-integer linear programming model is proposed to describe this problem. After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …"