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Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
Published 2018“…Expectation maximization (EM) is one of the representatives clustering algorithms which have broadly applied in solving classification problems by improving the density of data using the probability density function. …”
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Identification of continuous-time hammerstein model using improved archimedes optimization algorithm
Published 2024“…Improved mean fitness function values were also revealed in the TRS (11.63%) and EMPS (69.63%) assessments, surpassing the conventional algorithm. …”
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An Improved Archimedes Optimization Algorithm for Solving Optimization Problems
Published 2024“…These enhancements are subjected to rigorous evaluation using 23 benchmark functions, and their performance is compared against that of the original AOA and other prominent algorithms, including the Multiverse Optimization (MVO), Grasshopper Optimization Algorithm (GOA), Sine Cosine Algorithm (SCA), and Ant Lion Optimizer (ALO). …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Experimental results of the proposed strategy are compared with other advanced meta-heuristic algorithms using the Otsu and Kapur fitness functions. …”
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A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources
Published 2025“…Addressing the uncertainty and intermittence inherent in renewable energy sources (RES), Weibull and lognormal probability density functions are employed for RES availability estimation. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Experimental results of the proposed strategy are compared with other advanced meta-heuristic algorithms using the Otsu and Kapur fitness functions. …”
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Determining gender differential item functioning for mathematics in coeducational school culture
Published 2018“…Sources of DIF are linguistics density and item presentation style. The findings suggest that with only two moderate DIF mathematics items, there is insufficient evidence to suggest that the mathematics items functioned differently between boys and girls in school culture noted for successful mathematics learning, even though linguistics complexities of the test language cannot be ignored.Significance - While constructing Mathematics multiple choice items, careful considerations need to be given in selecting suitable numbers in composing the content of the item so that, only the correct algorithm would produce the correct answer ‘if and only if’ those numbers are used. …”
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