Yazar "Al-Betar, Mohammed Azmi" için listeleme
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Binary JAYA Algorithm with Adaptive Mutation for Feature Selection
Awadallah, Mohammed A.; Al-Betar, Mohammed Azmi; Hammouri, Abdelaziz I.; Alomari, Osama Ahmad (SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY, 2020)In this paper, a new metaheuristic algorithm called JAYA algorithm has been adapted for feature selection. Feature selection is a typical problem in machine learning and data mining domain concerned with determining the ... -
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Alomari, Osama Ahmad; Makhadmeh, Sharif Naser; Al-Betar, Mohammed Azmi; Alyasseri, Zaid Abdi Alkareem; Abu Doush, Iyad; Abasi, Ammar Kamal; Awadallah, Mohammed A.; Abu Zitar, Raed (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2021)DNA microarray technology is the fabrication of a single chip to contain a thousand genetic codes. Each microarray experiment can analyze many thousands of genes in parallel. The outcomes of the DNA microarray is a ... -
Person identification using EEG channel selection with hybrid flower pollination algorithm
Alyasseri, Zaid Abdi Alkareem; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi; Alomari, Osama Ahmad (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2020)Recently, electroencephalogram (EEG) signal presents a great potential for a new biometric system to deal with a cognitive task. Several studies defined the EEG with uniqueness features, universality, and natural robustness ... -
A TRIZ-inspired bat algorithm for gene selection in cancer classification
Al-Betar, Mohammed Azmi; Alomari, Osama Ahmad; Abu-Romman, Saeid M. (ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495, 2020)Gene expression data are expected to make a great contribution in the producing of efficient cancer diagnosis and prognosis. Gene expression data are coded by large measured genes, and only of a few number of them ...
