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Showing 441 - 460 results of 719 for search '(( elements mold algorithm ) OR ((( data processing algorithm ) OR ( based method algorithm ))))', query time: 0.11s Refine Results
  1. 441
    RFID localization using single reader antenna. (c2014)

    RFID localization using single reader antenna. (c2014) by Msheik, Hamze

    Published 2016
    “…Our scheme is based on Power Map Matching algorithm. The proposed method employs the use of a Single Stationary Reader Antenna and multitags placed on the asset. …”
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  2. 442
    An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM

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

    Published 0000
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  3. 443
    Inferential sensing techniques in industrial applications

    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…Inferential sensing technique is a method to estimate certain quantities based on a set of conventional measurements. …”
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  4. 444
    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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  5. 445
    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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  6. 446
    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. 447
    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO

    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO by Majedeh Gheytanzadeh (17541927)

    Published 2022
    “…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …”
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  8. 448
    Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils

    Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils by Alireza Namadmalan (16864236)

    Published 2020
    “…<p>This paper presents a design optimization algorithm for series-series compensated Inductive Power Transfer (IPT) system based on flat spiral coils, considering bifurcation phenomenon and AC equivalent resistance of the coils. …”
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  9. 449
    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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  10. 450
    Structural alignment. (c2006)

    Structural alignment. (c2006) by Kazma, Layal

    Published 2006
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  11. 451
    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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  12. 452
    Computation of conformal invariants

    Computation of conformal invariants by Mohamed M.S., Nasser

    Published 2020
    “…The method we use is based on the boundary integral equation method developed and implemented in [1]. …”
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  13. 453
    DNA Base-Calling Techniques

    DNA Base-Calling Techniques by Odeh, Fadi

    Published 2008
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  14. 454
    Indexing Arabic texts using association rule data mining

    Indexing Arabic texts using association rule data mining by Haraty, Ramzi A.

    Published 2019
    “…Originality/value In this paper, the authors present a full text-based auto-indexing method for Arabic text documents. …”
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  15. 455
    A linear programming approach for the weighted graph matchingproblem

    A linear programming approach for the weighted graph matchingproblem by Almohamad, H.A.

    Published 1993
    “…The linear program is solved using a simplex-based algorithm. Then, approximate 0-1 integer solutions are obtained by applying the Hungarian method on the real solutions of the linear program. …”
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  16. 456
    PERF solutions for distributed query optimization. (c1999)

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

    Published 1999
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  17. 457
    LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH

    LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH by A. Masurkar, Faeez

    Published 2021
    “…A new damage localization method based on Lamb waves is presented here for thin aluminium (Al) plate specimens using a Genetic optimization (GO) approach. …”
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  18. 458
    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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  19. 459
    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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  20. 460
    Power system output feedback stabilizer design via geneticalgorithms

    Power system output feedback stabilizer design via geneticalgorithms by Abdel-Magid, Y.L.

    Published 1997
    “…A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …”
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