Showing 461 - 480 results of 691 for search '(( element mould algorithm ) OR ((( data using algorithm ) OR ( data code algorithm ))))', query time: 0.11s Refine Results
  1. 461

    Recovery of business intelligence systems by Haraty, Ramzi A.

    Published 2018
    “…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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    article
  2. 462
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  4. 464

    A forward-backward Kalman for the estimation of time-variant channels in OFDM by Al-Naffouri, T.Y.

    Published 2005
    “…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …”
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    article
  5. 465

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 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
  6. 466

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
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    conferenceObject
  7. 467

    Benchmarking Concept Drift Detectors for Online Machine Learning by Mahgoub, Mahmoud

    Published 2022
    “…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …”
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  8. 468

    Clustering Tweets to Discover Trending Topics about دبي (Dubai) by ALYALYALI, SALAMA KHAMIS SALEM KHAMIS

    Published 2018
    “…Then, creating a word vector to the tweets by using TF-IDF methodology. After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …”
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  9. 469

    An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM by Al-Naffouri, T.Y.

    Published 0000
    “…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …”
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    article
  10. 470

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura, Habiba

    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. …”
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    article
  11. 471
  12. 472

    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. …”
  13. 473

    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
  14. 474

    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
  15. 475

    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. …”
  16. 476

    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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  17. 477

    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
  18. 478

    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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