Mohammad Ali Moni
Orcid: 0000-0003-0756-1006
According to our database1,
Mohammad Ali Moni
authored at least 101 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction.
J. Big Data, December, 2024
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor.
Expert Syst. Appl., March, 2024
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach".
Artif. Intell. Rev., March, 2024
Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma.
CoRR, 2024
2023
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning.
Expert Syst. Appl., November, 2023
FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI.
Comput. Biol. Medicine, October, 2023
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells.
Comput. Biol. Medicine, June, 2023
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
Neural Networks, May, 2023
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke.
J. Biomed. Informatics, May, 2023
GRU-INC: An inception-attention based approach using GRU for human activity recognition.
Expert Syst. Appl., April, 2023
An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients.
Comput. Biol. Medicine, March, 2023
Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival.
Microprocess. Microsystems, 2023
J. Inf. Secur. Appl., 2023
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh.
Inf., 2023
A robust and clinically applicable deep learning model for early detection of Alzheimer's.
IET Image Process., 2023
An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder.
Comput., 2023
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning.
Comput. Biol. Medicine, 2023
IEEE Access, 2023
CervixMed: Detecting Cervical Cancer based on combinational data using Hybrid architecture.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Identifying Heterogeneity of Diabetics Mellitus Based on the Demographical and Clinical Characteristics.
Hum. Centric Intell. Syst., June, 2022
Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis.
Netw. Model. Anal. Health Informatics Bioinform., 2022
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides.
J. Comput. Aided Mol. Des., 2022
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes.
Health Inf. Sci. Syst., 2022
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning.
Expert Syst. Appl., 2022
EEG-based emotion analysis using non-linear features and ensemble learning approaches.
Expert Syst. Appl., 2022
CoRR, 2022
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.
Comput. Biol. Medicine, 2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins.
Comput. Biol. Medicine, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides.
Comput. Biol. Medicine, 2022
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models.
Comput. Biol. Medicine, 2022
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus.
Appl. Intell., 2022
Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture.
Algorithms, 2022
CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack.
Algorithms, 2022
Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder.
Algorithms, 2022
Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022
2021
C-C Chemokine receptor-like 2 (CCRL2) acts as coreceptor for human immunodeficiency virus-2.
Briefings Bioinform., July, 2021
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline.
PeerJ Comput. Sci., 2021
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study.
BMC Medical Informatics Decis. Mak., 2021
Public health utility of cause of death data: applying empirical algorithms to improve data quality.
BMC Medical Informatics Decis. Mak., 2021
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets.
Knowl. Based Syst., 2021
rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data.
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021
Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.
Comput. Biol. Medicine, 2021
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals.
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes.
Comput. Biol. Medicine, 2021
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer.
Comput. Biol. Medicine, 2021
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data.
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison.
Comput. Biol. Medicine, 2021
Machine learning-based statistical analysis for early stage detection of cervical cancer.
Comput. Biol. Medicine, 2021
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
Comput. Biol. Medicine, 2021
Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients.
Briefings Bioinform., 2021
Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients.
Briefings Bioinform., 2021
Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases.
Briefings Bioinform., 2021
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.
Briefings Bioinform., 2021
Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders.
Briefings Bioinform., 2021
Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities.
Briefings Bioinform., 2021
Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions.
Briefings Bioinform., 2021
Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease.
Briefings Bioinform., 2021
PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques.
Briefings Bioinform., 2021
Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance.
Briefings Bioinform., 2021
Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19.
Briefings Bioinform., 2021
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques.
IEEE Access, 2021
A Human-Robot Interaction System Calculating Visual Focus of Human's Attention Level.
IEEE Access, 2021
Proceedings of the IEEE International Conference on Digital Health, 2021
COVID-Hero: Machine Learning Based COVID-19 Awareness Enhancement Mobile Game for Children.
AII, 2021
The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate.
Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021
2020
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients.
Expert Syst. Appl., 2020
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
CoRR, 2020
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19.
CoRR, 2020
Computational prediction of protein ubiquitination sites mapping on <i>Arabidopsis thaliana</i>.
Comput. Biol. Chem., 2020
Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints.
IEEE Access, 2020
2019
PeerJ Comput. Sci., 2019
BMC Medical Informatics Decis. Mak., 2019
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality.
J. Biomed. Informatics, 2019
Comput. Biol. Medicine, 2019
A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue.
Comput. Biol. Medicine, 2019
Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease.
Comput. Biol. Chem., 2019
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities.
IEEE Access, 2019
A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise.
IEEE Access, 2019
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders.
IEEE Access, 2019
Proceedings of International Joint Conference on Computational Intelligence, 2019
Identification of Genetic Links of Thyroid Cancer to the Neurodegenerative and Chronic Diseases Progression: Insights from Systems Biology Approach.
Proceedings of International Joint Conference on Computational Intelligence, 2019
2018
A Network-Based Approach to Identify Molecular Signatures and Comorbidities of Thyroid Cancer.
Proceedings of International Joint Conference on Computational Intelligence, 2018
2015
Clinical bioinformatics and computational modelling for disease comorbidities diagnosis.
PhD thesis, 2015
Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer.
Comput. Biol. Chem., 2015
CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks.
Bioinform., 2015
2014
Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.
BMC Bioinform., 2014
2013
Comparing Viral (HIV) and Bacterial (Staphylococcus aureus) Infection of the Bone Tissue.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013
2012
2009
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009