Search Results - "Omar Qasim"

Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm by Al-kababchee, Sarah Ghanim Mahmood, Algamal, Zakariya Yahya, Qasim, Omar Saber

“…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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Hybrid Binary Dragonfly Optimization Algorithm with Statistical Dependence for Feature Selection by Qasim, Omar S., Mahmoud, Mohammed Sabah, Hasan, Fatima Mahmood

“…The aim of the feature selection technique is to obtain the most important information from a specific set of datasets. Further elaborations in the feature…”
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Kernel semi-parametric model improvement based on quasi-oppositional learning pelican optimization algorithm by Zakariya Algamal, Firas AL-Taie, Omar Qasim

“…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 Proposed Method for Feature Selection using a Binary Particle Swarm Optimization Algorithm and Mutual Information Technique by Abed Alhafedh, Mustafa, Qasim, Omar

“…Feature selection is one of the most important issues in improving the data classification process. It greatly influences the accuracy of the classification…”
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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 by Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…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 by Al-Thanoon, Niam Abdulmunim, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…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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Improved Classification Performance of Support Vector Machine Technique Using the Genetic Algorithm by Qasim, Omar, Abed Alhafedh, Mustafa

“…In this research, the genetic algorithm was proposed as a method to find the parameters of support vector machine, specifically the σ and c parameters for…”
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Feature Selection Using Different Transfer Functions for Binary Bat Algorithm by Qasim, Omar Saber, Algamal, Zakariya Y.

“…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 by Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…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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Hybridization of the Artificial Immune Network Using the Backpropagation Neural Network by Qasim, Omar, Mohammed, Israa

“…In this research building style simulation developed is applied in the field of pattern recognition medical patients osteoporosis through a process of…”
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Optimal Parameters for Nonlinear Hirota-Satsuma Coupled KdV System by Using Hybrid Firefly Algorithm with Modified Adomian Decomposition by Qasim, Omar Saber, Abed, Karam Adel, Qasim, Ahmed F.

“…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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An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis by Qasim, Omar, Mohammed, Israa

“…In this research discuss the concept of appropriate form, by examining mathematical behavior for three models represent neural networks are (GRNN, BPNN, PNN),…”
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ImageNet Classification using ResNet50 and Binary Marine Predators Algorithm by Noori, Noor Muhammed, Qasim, Omar S.

“…Image classification accuracy relies heavily on the quality of features used to classify the dataset. Researchers commonly use metaheuristic algorithms like…”
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Enhancing Classification Performance through Efficient Feature Selection with SD-BMPA Algorithm by Noori, Noor Muhammed, Qasim, Omar S.

“…Feature selection is a critical step in the classification process that can improve accuracy by reducing the number of features in the data set. However, too…”
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Hybrid Binary Atom Search Optimization Approaches with Statistical Dependence for Feature Selection by Hammadi, Wafaa Qassim, Qasim, Omar S.

“…The feature selection process aims to obtain the vital information contained in the dataset. Determining the high-impact features has a key role in improving…”
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Deep Feature Selection Model Based on Convolutional Neural Network and Binary Marine Predator Algorithm by Noori, Noor Muhammed, Qasim, Omar S.

“…most image datasets in classification have several features that negatively affect classification accuracy. Dimensions are reduced and features are selected…”
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Feature selection using particle swarm optimization-based logistic regression model by Qasim, Omar Saber, Algamal, Zakariya Yahya

“…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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Su Pompalama Için Yatay Eksenli Rüzgar Türbini Tasarımı by Qasim, Omar Abdulkareem Qasim

“…Bu çalışmada, yenilebilir enerji kaynaklarından rüzgar enerjisi kullanılarak yaklaşık 80 m derinlikten, günlük ortalama 8-10 ton bir çiftliğin su ihtiyacını…”
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Feature selection based on a crow search algorithm for big data classification by Al-Thanoon, Niam Abdulmunim, Algamal, Zakariya Yahya, Qasim, Omar Saber

“…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 by Qasim, Omar Saber, Al-Thanoon, Niam Abdulmunim, Algamal, Zakariya Yahya

“…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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