يعرض 381 - 400 نتائج من 407 نتيجة بحث عن '(( element rd algorithm ) OR ((( data processing algorithm ) OR ( data testing algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 381
  2. 382

    Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features حسب Mariam Bahameish (19255789)

    منشور في 2024
    "…<p dir="ltr">Stress recognition, particularly using machine learning (ML) with physiological data such as heart rate variability (HRV), holds promise for mental health interventions. …"
  3. 383

    Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

    منشور في 2023
    "…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …"
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  4. 384

    Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes حسب Radhakrishnan Vishnubalaji (3563306)

    منشور في 2023
    "…In the current study, we employed computational algorithms to decipher the cellular composition of estrogen receptor-positive (ER<sup>+</sup>), HER2<sup>+</sup>, ER<sup>+</sup>HER2<sup>+</sup>, and triple-negative BC (TNBC) subtypes from a total of 49,899 single cells’ publicly available transcriptomic data derived from 26 BC patients. …"
  5. 385

    Artificial intelligence models for predicting the mode of delivery in maternal care حسب Rawan AlSaad (14159019)

    منشور في 2025
    "…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"
  6. 386

    LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

    منشور في 2022
    "…Currently, it is difficult to classify cancers using microarray data. Nearly many data mining techniques have failed because of the small sample size, which has become more critical for organizations. …"
  7. 387

    Combinatorial method for bandwidth selection in wind speed kernel density estimation حسب El Dakkak, Omar

    منشور في 2019
    "…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …"
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  8. 388

    The Impact of AI on Decision-Making in Educational Management: Benefits, Risks, and Ethical Concerns حسب JA’AROUN, WAED YOUSEF

    منشور في 2024
    "…However, the adoption of AI also presents challenges, including potential biases in algorithms, privacy concerns, and the risk of an over-reliance on automated systems. …"
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  9. 389

    Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

    منشور في 2019
    "…At enrollment, this work predicts a student’s GPA in different majors using enrollment data such as high school average, placement test results, and IELTS score. …"
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  10. 390

    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
    "…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. …"
  11. 391
  12. 392

    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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  13. 393

    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
  14. 394

    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. …"
  15. 395

    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
  16. 396
  17. 397

    A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies حسب Farideh Abdollahi (22303153)

    منشور في 2024
    "…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …"
  18. 398

    Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid حسب Sk.A. Shezan (21323048)

    منشور في 2022
    "…Following the simulation data, load-following is the best dispatch mechanism for stand-alone microgrid architecture since it has the lowest LCOE and NPC.…"
  19. 399
  20. 400

    Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …"