Mel frequency cepstral coefficient and its applications: A review

ZK Abdul, AK Al-Talabani - IEEE Access, 2022 - ieeexplore.ieee.org
Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current …

AA Abdulsahib, MA Mahmoud, MA Mohammed… - … Modeling Analysis in …, 2021 - Springer
Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …

A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection

V Verma, A Benjwal, A Chhabra, SK Singh, S Kumar… - Scientific Reports, 2023 - nature.com
Voice is an essential component of human communication, serving as a fundamental
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …

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 …

[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 …

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 …

Fast learning network algorithm for voice pathology detection and classification

MAA Albadr, M Ayob, S Tiun, FT AL-Dhief… - Multimedia Tools and …, 2024 - Springer
The utilisation of ML (Machine Learning) techniques in the detection of the VP (Voice
Pathology) has recently gained a lot of consideration. However, these efforts still have …

A novel pathological voice identification technique through simulated cochlear implant processing systems

R Islam, E Abdel-Raheem, M Tarique - Applied Sciences, 2022 - mdpi.com
This paper presents a pathological voice identification system employing signal processing
techniques through cochlear implant models. The fundamentals of the biological process for …