يعرض 301 - 320 نتائج من 490 نتيجة بحث عن '(((( data processing algorithm ) OR ( models testing algorithm ))) OR ( relevant data algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

    منشور في 2020
    "…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
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    article
  3. 303

    Topology and parameter estimation in power systems through inverter-based broadband stimulations حسب Margossian, Harag

    منشور في 2015
    "…It combines and correlates various measurements in order to obtain an accurate snapshot of the power network parameters. To test its capabilities, the performance of this algorithm is evaluated on a small-scale test system.…"
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    article
  4. 304

    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

    منشور في 2023
    "…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …"
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  5. 305

    Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

    منشور في 2003
    "…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …"
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    article
  6. 306

    Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves حسب S. Andhale, Yogesh

    منشور في 2018
    "…The TOA data of the wave reflected from the damage is used in the two arrival time difference and astroid algorithms to locate the damage in an enclosed area. …"
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    A survey and comparison of wormhole routing techniques in a meshnetworks حسب Al-Tawil, K.M.

    منشور في 1997
    "…They consist of many processing nodes that interact by sending messages (containing both data and synchronization information) over a communication link, between nodes. …"
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    article
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    Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... حسب Mohamed Elsayed Saad Aboudonya (18466385)

    منشور في 2024
    "…Hamad International Training Center not only offers formal resuscitation training like Advanced Life Support Obstetrics and Neonatal Resuscitation Program courses but also ensures the frontline care providers’ readiness for managing cardiac arrest events in Hamad Medical Corporation facilities through regular mock drills and monitoring the relevant Key Performance Indicators (KPIs). The study aimed to explore the impact of a multidisciplinary maternal resuscitation training program and the introduction of the maternal resuscitation algorithm pathway (Figure 1) on the relevant seven KPIs.…"
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    Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

    منشور في 2025
    "…These masks are then applied to the complex STFT matrix of the noisy speech to obtain the denoised speech. 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. …"
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    A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

    منشور في 2023
    "…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"
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    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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