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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…In order to identify the strength and weakness of these algorithms for MC/DC compliant test cases, this research proposes an experimental study involving four neighborhoods based meta-heuristic algorithms. …”
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Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm
Published 2007“…In the modify algorithm, test cases would be selected according to the branch coverage if they covered different branch combination. …”
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Improving test efficiency through multiple criteria coverage based test case prioritization using modified heuristic algorithm
Published 2016“…The fault detection capability of a prioritized test suite is improved up to 15 using Modified PSO which forms the base algorithms for prioritization. …”
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A New Proposed Design Of A Stream Cipher Algorithm: Modified Grain-128
Published 2024“…The objective of this research is to propose a new algorithm based on the existing Grain - 128 stream cipher algorithm. …”
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Modified Miller-Rabin primality test algorithm to detect prime numbers for generating RSA keys
Published 2016“…To achieve the objective, the Miller-Rabin primality test was modified by adding few tests in the original Miller-Rabin. …”
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Analysis and Modification of Grain - 128 Stream Cipher Algorithm
Published 2024thesis::master thesis -
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Optimized clustering with modified K-means algorithm
Published 2021“…Besides, some real data sets were examined to validate the proposed algorithm. Empirical evidences based on simulated data sets indicated that the proposed modified k-means algorithm is able to recognise the optimum number of clusters for uncorrelated data sets. …”
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A variable combinatorial test suite strategy based on modified greedy algorithm
Published 2015“…This proposed will suggest a new CIT strategy based on a modified greedy algorithm (MGA) with addressing the supporting of variable strength interaction to generate a satisfactory test suite size.…”
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Adapting the Elitism on the Greedy Algorithm for Variable Strength Combinatorial Test Cases Generation
Published 2018“…This algorithm is invariably called the modified greedy algorithm (MGA). …”
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Facial features point localization using modified SIFT scale space / Zulfikri Paidi
Published 2020“…The third test on facial expression recognition process showed that the modified SIFT give more stable result than the results of the SIFT algorithm when the tests are performed on two different databases.…”
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Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…To improve the ML estimators and to maintain the high breakdown point while having high dimensional data sets, a new robust estimator of banded Cholesky and L₁-median with Weiszfeld algorithm, MLѡвсн was suggested. The performance of MLѡвсн and four more modified ML-tests, namely MLtests with banded Cholesky estimator MLвсн with Thresholding MLтн with Weiszfeld Algorithm MLѡ and with Weiszfeld’s Algorithm Estimator and Thresholding MLѡтн had been examined using Type I error and power of test values in a simulation study. …”
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In addition, two novel Jaya-based methods namely, the modified Jaya (MJaya) algorithm and quasi-oppositional modified Jaya (QOMJaya) algorithm are proposed to solve different MOOPF problems. …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The algorithm is a hybrid algorithm that operates using dual level search strategy that takes merits of a particle swarm optimisation algorithm and a modified adaptive bats sonar algorithm. …”
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A modified n-th section line search in conjugate gradient methods for solving unconstrained optimization / Muhammad Imza Fakhri Jinudin
Published 2018“…These line search methods are tested based on six standard optimization test problems. …”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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