Tuyen Do
Orcid: 0000-0002-1817-4565
According to our database1,
Tuyen Do authored at least 15 papers
between 2022 and 2025.
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Bibliography
2025
Toward Autonomous Biofilm Engineering: A Vision for a Digital Twin-Based Lab Automation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Digital Twin Forecasting of Quorum-Sensing Associated Biofilm Microorganisms in Urban Wastewater Over a 30-Week Interval.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Functional Biofilm-Associated Microbial Markers in a Colorectal Cancer Cohort: Evidence for Quorum Sensing, Exopolysaccharide Production, and Biofilm-Driven Pathogenesis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Metagenomic Functional Signatures for Real-Time Predictive Monitoring of Cyanobacterial Bloom Assessment and Biofilm Marker Discovery in Managed Freshwater Systems.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Biofilm marker discovery with cloud-based dockerized metagenomics analysis of microbial communities.
Briefings Bioinform., July, 2024
CoRR, 2024
Applying the DeepSeqDock Harmonization Framework on Pseudomonas Aeruginosa Bacterial Biofilm Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
NFB-Checker: An AI/ML-Powered Microorganism Nitrogen Fixation Susceptibility Prediction from Gene Collection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Toward Fine-Tuning Large Language Models in Ontology of Microbial Phenotypes Construction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Transformer in Microbial Image Analysis: A Comparative Exploration of TransUNet, UNet, and DoubleUNet for SEM Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Using BASIN-ML for Machine Learning-Based Statistical Analysis and Reporting for Biofilm Datasets.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022