Molecular property prediction of modified gedunin using machine learning

M Aly, AS Alotaibi - Molecules, 2023 - mdpi.com
Images of molecules are often utilized in education and synthetic exploration to predict
molecular characteristics. Deep learning (DL) has also had an influence on drug research …

[HTML][HTML] Divergent sensory pathways of sneezing and coughing

H Jiang, H Cui, M Chen, F Li, X Shen, CJ Guo… - Cell, 2024 - cell.com
Sneezing and coughing are primary symptoms of many respiratory viral infections and
allergies. It is generally assumed that sneezing and coughing involve common sensory …

Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

MH Behiry, M Aly - Journal of Big Data, 2024 - Springer
This paper proposes an intelligent hybrid model that leverages machine learning and
artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by …

A multimodal AI-based non-invasive COVID-19 grading framework powered by deep learning, manta ray, and fuzzy inference system from multimedia vital signs

SA Almutairi - Heliyon, 2023 - cell.com
The COVID-19 pandemic has presented unprecedented challenges to healthcare systems
worldwide. One of the key challenges in controlling and managing the pandemic is accurate …

Research on improved DenseNets pig cough sound recognition model based on SENets

H Song, B Zhao, J Hu, H Sun, Z Zhou - Electronics, 2022 - mdpi.com
In order to real-time monitor the health status of pigs in the process of breeding and to
achieve the purpose of early warning of swine respiratory diseases, the SE-DenseNet-121 …

Comparison of the effectiveness of cepstral coefficients for Russian speech synthesis detection

D Efanov, P Aleksandrov, I Mironov - Journal of Computer Virology and …, 2024 - Springer
Modern speech synthesis technologies can be used to deceive voice authentication
systems, phone scams, or discredit public figures. An urgent task is to detect synthesized …

[PDF][PDF] EMU-Net: Automatic Brain Tumor Segmentation and Classification Using Efficient Modified U-Net.

M Aly, AS Alotaibi - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Tumor segmentation is a valuable tool for gaining insights into tumors and improving
treatment outcomes. Manual segmentation is crucial but time-consuming. Deep learning …

Weakly-supervised thyroid ultrasound segmentation: Leveraging multi-scale consistency, contextual features, and bounding box supervision for accurate target …

M Aly - Computers in Biology and Medicine, 2025 - Elsevier
Weakly-supervised learning (WSL) methods have gained significant attention in medical
image segmentation, but they often face challenges in accurately delineating boundaries …

[PDF][PDF] Enhancing Facial Expression Recognition System in Online Learning Context Using Efficient Deep Learning Model.

M Aly, A Ghallab, IS Fathi - IEEE Access, 2023 - researchgate.net
This paper presents an online educational platform that leverages facial expression
recognition technology to monitor students' progress within the classroom. Periodically, a …

Cough Detection Using Acceleration Signals and Deep Learning Techniques

D Sanchez-Morillo, D Sales-Lerida, B Priego-Torres… - Electronics, 2024 - mdpi.com
Cough is a frequent symptom in many common respiratory diseases and is considered a
predictor of early exacerbation or even disease progression. Continuous cough monitoring …