The expanding role of artificial intelligence in collaborative robots for industrial applications: a systematic review of recent works

A Borboni, KVV Reddy, I Elamvazuthi, MS AL-Quraishi… - Machines, 2023 - mdpi.com
A collaborative robot, or cobot, enables users to work closely with it through direct
communication without the use of traditional barricades. Cobots eliminate the gap that has …

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 …

Voice pathology detection using deep learning on mobile healthcare framework

M Alhussein, G Muhammad - IEEE Access, 2018 - ieeexplore.ieee.org
The feasibility and popularity of mobile healthcare are currently increasing. The
advancement of modern technologies, such as wireless communication, data processing …

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 …

Convergence of artificial intelligence and internet of things in smart healthcare: a case study of voice pathology detection

G Muhammad, M Alhussein - Ieee Access, 2021 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and the Internet of Things (IoT) has tremendous
prospects in smart healthcare. The advancement of AI in the form of deep learning brought a …

An intelligent healthcare system for detection and classification to discriminate vocal fold disorders

Z Ali, MS Hossain, G Muhammad… - Future Generation …, 2018 - Elsevier
The growing population of senior citizens around the world will appear as a big challenge in
the future and they will engage a significant portion of the healthcare facilities. Therefore, it is …

An automatic health monitoring system for patients suffering from voice complications in smart cities

Z Ali, G Muhammad, MF Alhamid - Ieee Access, 2017 - ieeexplore.ieee.org
Current evolutions in the Internet of Things and cloud computing make it believable to build
smart cities and homes. Smart cities provide smart technologies to residents for the …

EEG pathology detection based on deep learning

M Alhussein, G Muhammad, MS Hossain - IEEE Access, 2019 - ieeexplore.ieee.org
With the advancement of machine learning technologies, particularly deep learning, the
automated systems to assist human life are flourishing. In this paper, we propose an …

Voice pathology detection using interlaced derivative pattern on glottal source excitation

G Muhammad, M Alsulaiman, Z Ali, TA Mesallam… - … signal processing and …, 2017 - Elsevier
In this paper, we propose a voice pathology detection and classification method using an
interlaced derivative pattern (IDP), which involves an n-th order directional derivative, on a …

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 …