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Showing 121 - 140 results of 501 for search '(( present data algorithm ) OR ((( data processing algorithm ) OR ( elements method algorithm ))))*', query time: 0.13s Refine Results
  1. 121
    Severity-Based Prioritized Processing of Packets with Application in VANETs

    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. …”
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  2. 122
    Correlation Clustering with Overlaps

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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  3. 123
    Robust Control Of Sampled Data Systems

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…The authors present robust stability bounds for sampled data systems. …”
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  4. 124
    Robust control of sampled data systems

    Robust control of sampled data systems by Al-Sunni, F.M.

    Published 1998
    “…The authors present robust stability bounds for sampled data systems. …”
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  5. 125
    Robust Control Of Sampled Data Systems

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…The authors present robust stability bounds for sampled data systems. …”
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  6. 126
    Robust Control Of Sampled Data Systems

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…The authors present robust stability bounds for sampled data systems. …”
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  7. 127
    Oversampling techniques for imbalanced data in regression

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”
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  8. 128
    Bee Colony Algorithm for Proctors Assignment.

    Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

    Published 2015
    “…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …”
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  9. 129
    Exam scheduling algorithms. (c1999)

    Exam scheduling algorithms. (c1999) by Mikati, Ziad

    Published 1999
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  10. 130
    Data Redundancy Management in Connected Environments

    Data Redundancy Management in Connected Environments by Mansour, Elio

    Published 2020
    “…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …”
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  11. 131
    Unsupervised outlier detection in multidimensional data

    Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

    Published 2022
    “…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …”
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  12. 132
    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation

    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

    Published 2023
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  13. 133
    Image-CNN Based Process Control of Profile

    Image-CNN Based Process Control of Profile by Zeinab, Zeinab Jihad

    Published 2023
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  14. 134
    Process Mining over Unordered Event Streams

    Process Mining over Unordered Event Streams by Awad, Ahmed

    Published 2020
    “…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …”
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  15. 135
    A kernelization algorithm for d-Hitting Set

    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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  16. 136
    Graph Contraction for Mapping Data on Parallel Computers

    Graph Contraction for Mapping Data on Parallel Computers by Mansour, N.

    Published 1994
    “…The mapping solution for the original problem is obtained by a straightforward interpolation. We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …”
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  17. 137
    Novel algorithms for accurate DNA base-calling

    Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

    Published 2013
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  18. 138
    Scatter Search algorithm for Protein Structure Prediction

    Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

    Published 2016
    “…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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  19. 139
    Parallel genetic algorithm for disease-gene association

    Parallel genetic algorithm for disease-gene association by Mansour, Nashat

    Published 2011
    “…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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  20. 140
    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM

    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …”
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