[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

Symmetrical simulation scheme for anomaly detection in autonomous vehicles based on LSTM model

AA Alsulami, Q Abu Al-Haija, A Alqahtani, R Alsini - Symmetry, 2022 - mdpi.com
Technological advancement has transformed traditional vehicles into autonomous vehicles.
Autonomous vehicles play an important role since they are considered an essential …

Detection of fake replay attack signals on remote keyless controlled vehicles using pre-trained deep neural network

Q Abu Al-Haija, AA Alsulami - Electronics, 2022 - mdpi.com
Keyless systems have replaced the old-fashioned methods of inserting physical keys into
keyholes to unlock the door, which are inconvenient and easily exploited by threat actors …

Parkinson classification neural network with mass algorithm for processing speech signals

B Akila, JJV Nayahi - Neural Computing and Applications, 2024 - Springer
Parkinson's disease (PD) is a condition that degenerates over time and impairs speech and
pronunciation because brain cells have died. This research work aims to predict parkinson …

Automatic Player Face Detection and Recognition for Players in Cricket Games

MU Haq, MAJ Sethi, S Ahmad, MA ELAffendi… - IEEE …, 2024 - ieeexplore.ieee.org
In this paper, we have developed an augmented reality cricket broadcasting application that
uses player face recognition during play to display player personal data. The system utilizes …

Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence

M Sarkar, TH Lee, PK Sahoo - Electronics, 2024 - mdpi.com
Ambient Intelligence (AMI) represents a significant advancement in information technology
that is perceptive, adaptable, and finely attuned to human needs. It holds immense promise …

[PDF][PDF] Robust symmetry prediction with multi-modal fea-ture fusion for partial shapes

J Xi, K Zheng, Y Zhong, LJ Li, ZP Cai… - Intell Autom Soft …, 2023 - cdn.techscience.cn
In geometry processing, symmetry research benefits from global geometric features of
complete shapes, but the shape of an object captured in realworld applications is often …

Advancing Parkinson's Disease Severity Prediction using Multimodal Convolutional Recursive Deep Belief Networks.

SA Hannan - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Abstract Parkinson's disease (PD), a progressive neurological ailment predominantly
affecting individuals over the age of 60, involves the gradual loss of dopamine-producing …

Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment

H Ameer, S Latif, R Latif - arXiv preprint arXiv:2406.05784, 2024 - arxiv.org
The automated classification of stuttered speech has significant implications for timely
assessments providing assistance to speech language pathologists. Despite notable …

[PDF][PDF] Detection of Fake Replay Attack Signals on Remote Keyless Controlled Vehicles Using Pre-Trained Deep Neural Network. Electronics 2022, 11, 3376

Q Abu Al-Haija, AA Alsulami - 2022 - academia.edu
Keyless systems have replaced the old-fashioned methods of inserting physical keys into
keyholes to unlock the door, which are inconvenient and easily exploited by threat actors …