يعرض 601 - 620 نتائج من 700 نتيجة بحث عن '(((( developing forest algorithm ) OR ( relevant data algorithm ))) OR ( data using algorithm ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 601

    Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC حسب Abbas, Nadine

    منشور في 2022
    "…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …"
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    article
  2. 602
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    Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects حسب ALKAABI, ABDULLA

    منشور في 2023
    "…Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …"
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  4. 604
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    Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

    منشور في 2017
    "…With the emergence of many erasure coding techniques that help provide reliability in practical distributed storage systems, we use fractional repetition coding on the given data and optimize the allocation of data blocks on system nodes in a way that minimizes the system repair cost. …"
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    article
  9. 609

    Deepfakes Signatures Detection in the Handcrafted Features Space حسب Hamadene, Assia

    منشور في 2023
    "…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …"
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  10. 610
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    Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

    منشور في 2021
    "…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…"
  12. 612

    Axes-Based Encryption Key حسب Haidar, Imane

    منشور في 2018
    "…For this, a need of robust security systems is raised to ensure that our data will be kept safe. This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. …"
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    conferenceObject
  13. 613

    Resilience analytics: coverage and robustness in multi-modal transportation networks حسب Abdelkader Baggag (14153040)

    منشور في 2018
    "…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …"
  14. 614

    A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications حسب Sharafeddine, Sanaa

    منشور في 2011
    "…However, the computational as well as memory access requirements of compression algorithms could consume more energy than simply transmitting data uncompressed. …"
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    article
  15. 615

    Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System حسب Mohd Imran (12249782)

    منشور في 2025
    "…The proposed methodology not only ensures the protection of biometric data in storage but also facilitates secure data retrieval for authentication purposes. …"
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    Modelling of pollutant transport in compound open channels حسب Chatila, Jean Georges

    منشور في 1998
    "…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …"
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    masterThesis
  19. 619
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    Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose حسب Atiq Ur Rehman (8843024)

    منشور في 2020
    "…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …"