A survey on machine learning approaches for automatic detection of voice disorders

S Hegde, S Shetty, S Rai, T Dodderi - Journal of Voice, 2019 - Elsevier
The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

Cervical cancer classification using convolutional neural networks and extreme learning machines

A Ghoneim, G Muhammad, MS Hossain - Future Generation Computer …, 2020 - Elsevier
Cervical cancer is one of the main reasons of death from cancer in women. The complication
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …

EEG-based pathology detection for home health monitoring

G Muhammad, MS Hossain… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
An electroencephalogram (EEG)-based remote pathology detection system is proposed in
this study. The system uses a deep convolutional network consisting of 1D and 2D …

Voice pathology detection and classification using convolutional neural network model

MA Mohammed, KH Abdulkareem, SA Mostafa… - Applied Sciences, 2020 - mdpi.com
Voice pathology disorders can be effectively detected using computer-aided voice pathology
classification tools. These tools can diagnose voice pathologies at an early stage and …

On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art

JA Gómez-García, L Moro-Velázquez… - … Signal Processing and …, 2019 - Elsevier
This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

Smart healthcare monitoring: a voice pathology detection paradigm for smart cities

MS Hossain, G Muhammad, A Alamri - Multimedia Systems, 2019 - Springer
With the increasing demand for automated, remote, intelligent, and real-time healthcare
services in smart cities, smart healthcare monitoring is necessary to provide improved and …

A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms

FT Al-Dhief, NMA Latiff, NNNA Malik, NS Salim… - IEEE …, 2020 - ieeexplore.ieee.org
The incorporation of the cloud technology with the Internet of Things (IoT) is significant in
order to obtain better performance for a seamless, continuous, and ubiquitous framework …

Deep learning-based intelligent face recognition in IoT-cloud environment

M Masud, G Muhammad, H Alhumyani… - Computer …, 2020 - Elsevier
In recent years, the Internet-of-Things (IoT) technology is being used in many application
areas such as healthcare, video surveillance, transportation etc. The massive adoption and …

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 …

Voice pathology detection using deep learning: a preliminary study

P Harar, JB Alonso-Hernandezy… - … and workshop on …, 2017 - ieeexplore.ieee.org
This paper describes a preliminary investigation of Voice Pathology Detection using Deep
Neural Networks (DNN). We used voice recordings of sustained vowel/a/produced at normal …