Genetic algorithm based on natural selection theory for optimization problems

MA Albadr, S Tiun, M Ayob, F Al-Dhief - Symmetry, 2020 - mdpi.com
The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls
under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically …

Breast cancer diagnosis using the fast learning network algorithm

MAA Albadr, M Ayob, S Tiun, FT Al-Dhief… - Frontiers in …, 2023 - frontiersin.org
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …

Voice pathology detection and classification by adopting online sequential extreme learning machine

FT Al-Dhief, MM Baki, NMA Latiff, NNNA Malik… - IEEE …, 2021 - ieeexplore.ieee.org
In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …

Environment sound classification using multiple feature channels and attention based deep convolutional neural network

J Sharma, OC Granmo, M Goodwin - 2020 - uia.brage.unit.no
In this paper, we propose a model for the Environment Sound Classification Task (ESC) that
consists of multiple feature channels given as input to a Deep Convolutional Neural Network …

Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection

MAA Albadr, S Tiun, M Ayob, FT Al-Dhief, K Omar… - PloS one, 2020 - journals.plos.org
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …

[PDF][PDF] Convolutional neural network for the detection of coronavirus based on X-ray images

EH Ahmed, MRM Alsemawi, MH Mutar… - Indonesian Journal of …, 2022 - researchgate.net
Nowadays, the coronavirus disease (COVID-19) is considered an ongoing pandemic that
spread quickly in most countries around the world. The COVID-19 causes severe acute …

Speech emotion recognition using optimized genetic algorithm-extreme learning machine

MAA Albadr, S Tiun, M Ayob, FT AL-Dhief… - Multimedia Tools and …, 2022 - Springer
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …

Detection and classification of conflict flows in SDN using machine learning algorithms

MHH Khairi, SHS Ariffin, NMAA Latiff, KM Yusof… - IEEE …, 2021 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a new type of technology that embraces high
flexibility and adaptability. The applications in SDN have the ability to manage and control …

Spoken language identification based on optimised genetic algorithm–extreme learning machine approach

MAA Albadr, S Tiun, M Ayob, FT AL-Dhief - International Journal of Speech …, 2019 - Springer
The determination and classification of a recognized spoken language based on certain
contents and datasets is known as the process of language identification (LID). The common …

Grey wolf optimization-extreme learning machine for automatic spoken language identification

MAA Albadr, S Tiun, M Ayob, MZA Nazri… - Multimedia Tools and …, 2023 - Springer
Natural language classification and determination based on a particular content and dataset
is carried out using Spoken Language Identification (LID) which typically involves the …