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Showing 361 - 380 results of 599 for search '(( data processing algorithm ) OR ((( develop based algorithm ) OR ( settlement rd algorithm ))))', query time: 0.10s Refine Results
  1. 361
    A forward-backward Kalman for the estimation of time-variant channels in OFDM

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

    Published 2005
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  2. 362
    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System

    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System by Abougharib, Arwa

    Published 2020
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  3. 363
    Portable Electromagnetic Surface Profiling System

    Portable Electromagnetic Surface Profiling System by Al Homssi, Bassel Mohamad

    Published 2016
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  4. 364
    A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM

    A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM by AlSultan, K.S.

    Published 2020
    “…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …”
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  5. 365
    Tabu Search For A Class Of Single-Machine Scheduling Problems

    Tabu Search For A Class Of Single-Machine Scheduling Problems by Al-Turki, Umar

    Published 2020
    “…The performance of the developed algorithm is tested for solving the variance minimization problem. …”
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  6. 366
    Competitive learning/reflected residual vector quantization for coding angiogram images

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

    Published 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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  7. 367
    Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves

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

    Published 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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  8. 368
    Bridge Structural Health Monitoring Using Mobile Sensor Networks

    Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

    Published 2022
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  9. 369
    A survey and comparison of wormhole routing techniques in a meshnetworks

    A survey and comparison of wormhole routing techniques in a meshnetworks by Al-Tawil, K.M.

    Published 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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  10. 370
    PERF solutions for distributed query optimization. (c1999)

    PERF solutions for distributed query optimization. (c1999) by Fany, Roula

    Published 1999
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  11. 371
    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks

    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks by Daou, Leonardo

    Published 2024
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  12. 372
    Turbo-charging dominating set with an FPT subroutine

    Turbo-charging dominating set with an FPT subroutine by Abu-Khzam, Faisal N.

    Published 2017
    “…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …”
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  13. 373
    Design and analysis of entropy-constrained reflected residual vector quantization

    Design and analysis of entropy-constrained reflected residual vector quantization by Mousa, W.A.H.

    Published 2002
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  14. 374
    A novel hybrid methodology for fault diagnosis of wind energy conversion systems

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

    Published 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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  15. 375
    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

    Published 2019
    “…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …”
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  16. 376
    Regression testing C# programs. (c2007)

    Regression testing C# programs. (c2007) by Staitieh, Wael

    Published 2007
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  17. 377
    A new estimator and approach for estimating the subpopulation parameters

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

    Published 2021
    “…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …”
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  18. 378
    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning

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

    Published 2023
    “…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …”
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  19. 379
    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials by Ghouti, Lahouari

    Published 1997
    “…However, the improved performance is achieved at the expense of higher computational complexity and data requirements.…”
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  20. 380
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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