Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

"…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications حسب Abu Zitar, Raed

"…The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. …"
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A simulated annealing algorithm for unit commitment حسب Mantawy, A.H.

"…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …"
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Artificial neural network algorithms. (c1999) حسب Ramadan, Samer N.

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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

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New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

"…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …"
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Parallel genetic algorithm for disease-gene association حسب Mansour, Nashat

"…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…"
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Asymptotically faster algorithms for parameterized FACE COVER حسب Abu-Khzam, Faisal N.

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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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Incremental & classical genetic algorithm. (c2001) حسب Awad, Mohamad M.

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An L2 Gap Metric Identification Algorithm حسب Al-Amer, Samir Hasan

"…Each iteration of the algorithm involves solving a weighted least squares approximation problem. …"
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A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

"…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
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Empirical comparison of regression test selection algorithms حسب Mansour, Nashat

"…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. …"
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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem حسب Habchi, Wassim

"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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A matheuristic approach for solving the 2-connected dominating set problem حسب Raka Jovanovic (17947838)

"…The algorithm is based on a Greedy Randomized Adaptive Search Procedure (GRASP). …"

Highly scalable parallel search-tree algorithms حسب Abu-Khzam, Faisal N.

"…We introduce the notion of a virtual topology and explore the use of search-tree indexing to achieve highly scalable parallel search-tree algorithms for NP-hard problems. …"
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A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks حسب Shaik, Muzibur Rehman

"…With such complex issues in the frameset, assigning weights to these large networks, resulting in the best cost is an NP-hard problem. In this thesis, a prudent approach of mitigating the mentioned problem by using a Stochastic Evolution (StocE) heuristic is used which provides a close to optimal solution to these kinds of problems. …"
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A hybrid Harris Hawks optimizer for economic load dispatch problems حسب Al-Betar, Mohammed Azmi

"…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. …"
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The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

"…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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