[HTML][HTML] 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 …

Music style classification algorithm based on music feature extraction and deep neural network

K Zhang - Wireless Communications and Mobile Computing, 2021 - Wiley Online Library
The music style classification technology can add style tags to music based on the content.
When it comes to researching and implementing aspects like efficient organization …

[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 …

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 …

Voice pathology detection using support vector machine based on different number of voice signals

FT AL-Dhief, NMA Latiff, MM Baki… - 2021 26th IEEE Asia …, 2021 - ieeexplore.ieee.org
In voice pathology detection system, machine learning algorithms play an important role in
the classification process. Most of the developed systems in voice pathology detection used …

[HTML][HTML] Odor clustering using a gas sensor array system of chicken meat based on temperature variations and storage time

AIF Al Isyrofie, M Kashif, AK Aji, N Aidatuzzahro… - Sensing and Bio …, 2022 - Elsevier
Shelf life and temperature are two things that affect the freshness of meat. Generally, people
identify the freshness of meat by looking at the texture, color, and even aroma of meat …

Dysphonia detection based on voice signals using naive bayes classifier

FT Al-Dhief, NMA Latiff, NNNA Malik… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Voice pathology detection has gained a lot of attention in the last few decades. Furthermore,
this field is considered an active topic in the healthcare area. However, most machine …

[HTML][HTML] Particle swarm optimization-based extreme learning machine for covid-19 detection

MAA Albadr, S Tiun, M Ayob, FT Al-Dhief - Cognitive Computation, 2024 - Springer
Abstract COVID-19 (coronavirus disease 2019) is an ongoing global pandemic caused by
severe acute respiratory syndrome coronavirus 2. Recently, it has been demonstrated that …

[HTML][HTML] Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection

MAA Albadr, M Ayob, S Tiun, FT Al-Dhief… - Frontiers in Public …, 2022 - frontiersin.org
Many works have employed Machine Learning (ML) techniques in the detection of Diabetic
Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR …

Music genre classification based on fusing audio and lyric information

Y Li, Z Zhang, H Ding, L Chang - Multimedia Tools and Applications, 2023 - Springer
Music genre classification (MGC) has a wide range of application scenarios. Traditional
MGC methods only consider either audio information or lyric information, resulting in an …