Search Results - "Qasim, Omar Saber"
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Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm
Published in Journal of intelligent systems (16-02-2023)“…Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a…”
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Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning
Published in Journal of chemometrics (01-11-2020)“…Many real problems have been solved by support vector regression, especially v‐support vector regression (v‐SVR), but there are hyperparameters that usually…”
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Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification
Published in Computers in biology and medicine (01-12-2018)“…In cancer classification, gene selection is one of the most important bioinformatics related topics. The selection of genes can be considered to be a variable…”
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Feature Selection Using Different Transfer Functions for Binary Bat Algorithm
Published in International journal of mathematical, engineering and management sciences (01-08-2020)“…The selection feature is an important and fundamental step in the preprocessing of many classification and machine learning problems. The feature selection…”
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IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM
Published in Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska (30-06-2024)“…Numerous real-world problems have been addressed using support vector regression, particularly v-support vector regression (v-SVR), but some parameters need to…”
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Optimal Parameters for Nonlinear Hirota-Satsuma Coupled KdV System by Using Hybrid Firefly Algorithm with Modified Adomian Decomposition
Published in Journal of mathematical and fundamental sciences (2021)“…In this paper, several parameters of the non-linear Hirota-Satsuma coupled KdV system were estimated using a hybrid between the Firefly Algorithm (FFA) and the…”
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7
Feature selection using particle swarm optimization-based logistic regression model
Published in Chemometrics and intelligent laboratory systems (15-11-2018)“…In any classification problem, the dataset typically has a large number of features. However, not all features are necessary to obtain a good classification…”
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Feature selection based on a crow search algorithm for big data classification
Published in Chemometrics and intelligent laboratory systems (15-05-2021)“…The common issues of big data are that many of the features may not be relevant. Feature selection has been proven to be an effective way to improve the…”
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Feature selection based on chaotic binary black hole algorithm for data classification
Published in Chemometrics and intelligent laboratory systems (15-09-2020)“…With the advance of generating high-dimensional data, feature selection is the most significant procedure to guarantee selecting the most discriminative subset…”
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A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics
Published in Chemometrics and intelligent laboratory systems (15-01-2019)“…In quantitative structure–activity relationship (QSAR) classification, descriptor selection is one of the most important topics in the chemometrics. The…”
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Hybrid method between Lyapunov's artificial small parameter and bat algorithm for fractional differential equations
Published in Journal of interdisciplinary mathematics (18-08-2022)“…In this paper, a hybrid method between Lyapunov's artificial small parameter method (LASPM) and the bat algorithm (BA) was proposed to solve fractional…”
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Improving nature-inspired algorithms for feature selection
Published in Journal of ambient intelligence and humanized computing (01-06-2022)“…Selecting highly discriminative features from a whole feature set has become an important research area. Not only can this improve the performance of…”
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Solving nonlinear differential equations using a hybrid method between the variational iteration method and grey wolf optimization algorithm
Published in Journal of interdisciplinary mathematics (17-02-2022)“…Done in this manuscript, an analytical method, Variation Iteration Method (VIM) has been hybridized with an intelligent method the Gray Wolf Optimization (GWO)…”
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Kernel semi-parametric model improvement based on quasi-oppositional learning pelican optimization algorithm
Published in Iraqi Journal for Computer Science and Mathematics (20-04-2023)“…Statistical modeling is essential in many scientific research areas because it explains the relationship between the response variable of interest and a number…”
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A New Hybrid Pigeon-Inspired Optimization Algorithm for Solving Multidimensional Knapsack Problems
Published in 2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) (25-08-2021)“…The Multidimensional Knapsack Problem (MKP) is an important issue in the class of knapsack problem with a wide range of applications in management and…”
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