يعرض 341 - 360 نتائج من 372 نتيجة بحث عن '(((( based could algorithm ) OR ( data processing algorithm ))) OR ( element study algorithm ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 341

    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization حسب Yassine Himeur (14158821)

    منشور في 2023
    "…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …"
  2. 342

    Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context حسب SALIM, MAHA JAWDAT

    منشور في 0024
    "…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …"
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  3. 343

    Towards Multimedia Fragmentation حسب Saad, Samir

    منشور في 2006
    "…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …"
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    conferenceObject
  4. 344

    Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review حسب Arfan Ahmed (17541309)

    منشور في 2022
    "…WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.…"
  5. 345

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

    منشور في 2023
    "…Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. …"
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    article
  6. 346

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

    منشور في 2023
    "…<p dir="ltr">Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. …"
  7. 347
  8. 348

    An XML Document Comparison Framework حسب Tekli, Joe

    منشور في 2001
    "…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …"
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    article
  9. 349

    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics حسب Tekli, Joe

    منشور في 2011
    "…XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …"
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    article
  10. 350
  11. 351

    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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  12. 352

    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. …"
  13. 353

    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. …"
  14. 354

    THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar حسب M. Walid Qoronfleh (14153088)

    منشور في 2020
    "…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …"
  15. 355
  16. 356

    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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  17. 357

    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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  18. 358

    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
  19. 359

    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. …"
  20. 360