Mohammad Ali Moni

Charles Sturt University — Australia

Biochemistry, Genetics and Molecular Biology · Life Sciences

83h-index49.6kcitations516works61.72yr avg
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Research Topics

Bioinformatics and Genomic Networks(57), Artificial Intelligence in Healthcare(41), COVID-19 diagnosis using AI(34), Machine Learning in Bioinformatics(33), Machine Learning in Healthcare(27)

Publications462 total

Artificial Intelligence Driven Software Systems for Cardiovascular Disease Detection Using Physiological Signals: A Systematic Review
2026Open Access
3D MRI reconstruction and brain tumor diagnosis using deep learning with explainable AI
Expert Systems with Applications·2026Open Access
Transparent Deep Learning for Medicinal Plant Recognition: A Hybrid CNN–ViT Approach with Explainable AI on BDHerbalPlants
Smart Agricultural Technology·2026Open Access
Tuberculosis notification trends and treatment outcomes in Bangladesh: findings from a National TB Program data, 2019–2021
BMC Infectious Diseases·2026Open Access
Securing the Unseen: A Comprehensive Exploration Review of <scp>AI</scp> ‐Powered Models for Zero‐Day Attack Detection
Expert Systems·2026Open Access
Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances
Artificial Intelligence Review·2026Open Access
RGNN3D: A hybrid radiomic graph neural network for 3D MRI glioma grading
Knowledge-Based Systems·2026Open Access
CWT-based transfer learning model with optimal channel selection for the detection of MDD using EEG signals
Knowledge-Based Systems·2026Open Access
Deep_TPPred: Improved prediction of protein toxicity using feature fusion and hybrid neural network approach
IEEE Transactions on Computational Biology and Bioinformatics·2026
QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy Classification
Advanced Quantum Technologies·2026Open Access
A Secure and Interpretable Federated Learning Framework for Diabetes Prediction with Blockchain-Enabled Security
IEEE Transactions on Artificial Intelligence·2026
A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features
IEEE Transactions on Computational Biology and Bioinformatics·2026
An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of <i>Moraxella catarrhalis</i>
Briefings in Functional Genomics·2026Open Access
CardIA-Net: An Explainable Deep Learning Model for MI Detection
SSRN Electronic Journal·2026Open Access
Prevalence of Vision Loss in High-Income Countries and in Eastern and Central Europe in 2020: Magnitude and Temporal Trends
National University of Singapore·2025
Unveiling the Optimal CNN- A Performance Evaluation of Architectures in Malaria Image Classification
2025Open Access
An explainable deep learning model for mulberry leaf classification and disease detection
Engineering Applications of Artificial Intelligence·2025Open Access
DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals
Biomedical Signal Processing and Control·2025
Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap
Interactive Journal of Medical Research·2025· 1 citedOpen Access
Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Shahadat Uddin(13), Julian M.W. Quinn(11), Salem A. Alyami(11), Khondokar Fida Hasan(9), Píetro Lió(8), Mohammad Abu Yousuf(7), AKM Azad(7), Md. Ashraf Uddin(5), Md. Shahriare Satu(5), Md Abu Hasan Johir(4), John L. Zhou(4), Mohammad Boshir Ahmed(4), Md. Alamin Talukder(4), Md. Manowarul Islam(4), Arnisha Akhter(4), Md. Rashed-Al-Mahfuz(4), Bikash Kumar Paul(3), Kawsar Ahmed(3), Simon I Hay(3), Christopher J L Murray(3)