Ali Mohammad Alqudah

Orcid: 0000-0002-5417-0043

According to our database1, Ali Mohammad Alqudah authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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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

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

Detecting Cognitive Features of Videos Using EEG Signal.
Comput. J., 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


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