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Indexing Arabic texts using association rule data mining
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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463
A linear programming approach for the weighted graph matchingproblem
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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464
PERF solutions for distributed query optimization. (c1999)
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masterThesis -
465
LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH
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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Turbo-charging dominating set with an FPT subroutine
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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conferenceObject -
468
Power system output feedback stabilizer design via geneticalgorithms
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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469
Computation of conformal invariants
Published 2021“…The method we use is based on the boundary integral equation method developed and implemented in [1]. …”
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An explicit finite-difference scheme for wave propagation in nonlinear optical structures
Published 2001“…The algorithm is an explicit nonlinear finite-difference method (NFDM) based on the exact solution of the nonlinear discrete equations. …”
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471
A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM
Published 2020“…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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472
HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP
Published 2020“…In this paper the ahrdware design and VLSi implementation of a byte-wise CRC generator is presented. The algorithm is based on the work presented in [10] in which a software implementation was proposed. …”
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473
Lung cancer medical images classification using hybrid CNN-SVM
Published 2021“…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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Optimizing clopidogrel dose response
Published 2016“…Method Clopidogrel dose optimization was analyzed based on two main parameters that affect clopidogrel metabolite area under the curve: different CYP2C19 genotypes and concomitant drug intake. …”
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476
Timing influenced general-cell genetic floorplanner
Published 2020“…This phase is constraint graph based. The approach combines the robustness of genetic algorithm with run time efficiency and elegance of constraint graph based method. …”
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477
Hardware design and VLSI implementation of a byte-wise CRCgenerator chip
Published 1995“…The hardware design and VLSI implementation of a byte-wise CRC generator is presented. The algorithm is based on the work presented by Perez, Wismer and Becker (1983) in which a software implementation was proposed. …”
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478
Vehicular-OBUs-As-On-Demand-Fogs
Published 2020“…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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479
Heat rate curve approximation for power plants without data measuring devices
Published 2012“…The method is applied on a given power system, in which we calculate the electricity cost using the CAPSE (computer aided power economics) algorithm. …”
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480
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
Published 2024“…The sensors are unbiased radars with fixed locations. The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …”
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