Ali Mohammad Alqudah
Orcid: 0000-0002-5417-0043
According to our database1,
Ali Mohammad Alqudah
authored at least 15 papers
between 2020 and 2024.
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Collaborative distances:
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Bibliography
2024
Obstructive sleep apnea detection during wakefulness: a comprehensive methodological review.
Medical Biol. Eng. Comput., May, 2024
CT-based generation of synthetic-pseudo MR images with different weightings for human knee.
Comput. Biol. Medicine, February, 2024
Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques.
J. Electr. Comput. Eng., 2024
2022
Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds.
Soft Comput., 2022
Deep learning for single-lead ECG beat arrhythmia-type detection using novel iris spectrogram representation.
Soft Comput., 2022
Improving machine learning recognition of colorectal cancer using 3D GLCM applied to different color spaces.
Multim. Tools Appl., 2022
ECG heartbeat arrhythmias classification: a comparison study between different types of spectrum representation and convolutional neural networks architectures.
J. Ambient Intell. Humaniz. Comput., 2022
2021
A Hybrid Lightweight 1D CNN-LSTM Architecture for Automated ECG Beat-Wise Classification.
Traitement du Signal, 2021
Reduced Number of Parameters for Predicting Post-Stroke Activities of Daily Living Using Machine Learning Algorithms on Initiating Rehabilitation.
Informatica (Slovenia), 2021
Performance Evaluation of Different Machine Learning Classification Algorithms for Disease Diagnosis.
Int. J. E Health Medical Commun., 2021
2020
Lightweight Deep Learning for Malaria Parasite Detection Using Cell-Image of Blood Smear Images.
Rev. d'Intelligence Artif., 2020
Classification of heart sound short records using bispectrum analysis approach images and deep learning.
Netw. Model. Anal. Health Informatics Bioinform., 2020
AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images.
Medical Biol. Eng. Comput., 2020
Brain Tumor Classification Using Deep Learning Technique - A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes.
CoRR, 2020