Showing 501 - 520 results of 728 for search '(( elements per algorithm ) OR ((( image processing algorithm ) OR ( data using algorithm ))))', query time: 0.17s Refine Results
  1. 501
  2. 502

    A new estimator and approach for estimating the subpopulation parameters by Mohammad Salehi M. (21259490)

    Published 2021
    “…The criterion shows that the traditional total subpopulation estimator for unknown subpopulation size will be more efficient if the subpopulation mean is close to zero. Using an innovative procedure, we develop a new estimator, and we study its properties using real data. …”
  3. 503

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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    masterThesis
  4. 504

    Starvation Problem in CPU Scheduling for Multimedia Systems by Salah, Khaled

    Published 2002
    “…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. …”
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    article
  5. 505

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura Habiba (17808302)

    Published 2023
    “…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
  6. 506

    Positive Unlabelled Learning to Recognize Dishes as Named Entity by TAREK, AIMAN

    Published 2019
    “…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …”
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  7. 507

    NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES by Al-Garni, Ahmed Z.

    Published 2020
    “…Three years of data are used for model building and validation. …”
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    article
  8. 508

    Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system by Ali Farhat (1461478)

    Published 2018
    “…</p><h2>Other Information</h2> <p> Published in: EURASIP Journal on Image and Video Processing<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1186/s13640-018-0298-2" target="_blank">http://dx.doi.org/10.1186/s13640-018-0298-2</a></p>…”
  9. 509

    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
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  12. 512

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

    Published 2015
    “…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …”
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    conferenceObject
  13. 513

    FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK by Al-Garni, Ahmed Z.

    Published 2007
    “…Three years of data are used for model building and validation. …”
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    article
  14. 514

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …”
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  15. 515

    Severity-Based Prioritized Processing of Packets with Application in VANETs by Ala Al-Fuqaha (4434340)

    Published 2019
    “…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …”
  16. 516

    Information Warfare by Haraty, Ramzi A.

    Published 2015
    “…The algorithm is based on data dependency and uses a single matrix that will be later used during recovery.…”
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    conferenceObject
  17. 517

    Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework by Tayyabah Hasan (18427887)

    Published 2022
    “…After selecting the most appropriate lattice map (32 × 32) in 750,000 iterations using SOMs, the data points below the dark blue region are mapped onto the data frame to get the videos. …”
  18. 518

    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …”
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    conferenceObject
  19. 519

    Video features with impact on user quality of experience by Abbas, Nadine

    Published 2021
    “…The feature evaluation is performed first using forward elimination feature selection algorithm, and second using decision tree classification to extract and sort the features that highly affect the subjective QoE. …”
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    conferenceObject
  20. 520

    Innovative mobile E-healthcare systems by Haraty, Ramzi A.

    Published 2016
    “…Caching is one of the key methods in distributed computing environments to improve the performance of data retrieval. To find which item in the cache can be evicted and replaced, cache replacement algorithms are used. …”
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    article