Thanh-Ngoan Trieu

Orcid: 0000-0002-6837-6181

According to our database1, Thanh-Ngoan Trieu authored at least 14 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Driver drowsiness detection and smart alerting using deep learning and IoT.
Internet Things, July, 2023

Breast Cancer Classification on Mammograms Using Vision Transformer.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

Vision Transformer for Kidney Stone Detection.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

2022
Lung Lesions Segmentation and Classification with Deep Neural Networks.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

2021
A Theoretical and Experimental Comparison of Large-Scale Join Algorithms in Spark.
SN Comput. Sci., 2021

Interpretable Machine Learning for Meteorological Data.
Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

2020
Open Data for Environment Sensing: Crowdsourcing Geolocation Data.
EAI Endorsed Trans. Context aware Syst. Appl., 2020

Real-time Opinion Extraction and Classification for Vietnamese Posts on Social Networks.
Proceedings of the 12th International Conference on Knowledge and Systems Engineering, 2020

An Affinity Propagation Approach for Entity Clustering with Spark.
Proceedings of the ICIIT 2020: 5th International Conference on Intelligent Information Technology, 2020

An Efficient Approach for Improving Recursive Joins Based on Three-Way Joins in Spark.
Proceedings of the Advances in Computational Collective Intelligence, 2020

A Comparative Study of Join Algorithms in Spark.
Proceedings of the Future Data and Security Engineering - 7th International Conference, 2020

Detection and Classification of Brain Hemorrhage Using Hounsfield Unit and Deep Learning Techniques.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

2019
Efficient Processing of Recursive Joins on Large-Scale Datasets in Spark.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019


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