Hieu Trung Huynh
Orcid: 0000-0002-2097-0704
According to our database1,
Hieu Trung Huynh
authored at least 37 papers
between 2007 and 2024.
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Bibliography
2024
iTa-DFiE: An Innovative Tensor Algebra-Based Detection Framework for Incomplete Noninvasive Electroencephalography.
IEEE Access, 2024
2023
A Novel Approach For CT-Based COVID-19 Classification and Lesion Segmentation Based On Deep Learning.
Comput. J., June, 2023
Frontiers Big Data, January, 2023
Math. Comput. Simul., 2023
Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023
2022
A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial Intelligence.
Comput. J., 2022
Ordinary differential equation based neural network coupled with random forest in the quality assessment of hand hygiene processes.
Appl. Soft Comput., 2022
An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022
A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-Images.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022
An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022
2021
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021
White Blood Cell Segmentation and Classification Using Deep Learning Coupled with Image Processing Technique.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021
2020
SN Comput. Sci., 2020
Pattern Recognit. Lett., 2020
Energy expenditure estimation based on artificial intelligence and microservice architecture.
Proceedings of the ICMLSC 2020: The 4th International Conference on Machine Learning and Soft Computing, 2020
2019
Trans. Large Scale Data Knowl. Centered Syst., 2019
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019
Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019
2017
Fully automated MR liver volumetry using watershed segmentation coupled with active contouring.
Int. J. Comput. Assist. Radiol. Surg., 2017
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks.
Proceedings of the Future Data and Security Engineering - 4th International Conference, 2017
2013
Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks.
Pattern Recognit. Lett., 2011
2009
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009
DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD.
Proceedings of the Bio-Science and Bio-Technology, 2009
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009
2008
Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine.
J. Digit. Content Technol. its Appl., 2008
An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks.
Int. J. Neural Syst., 2008
IEICE Trans. Inf. Syst., 2008
Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks.
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008
Evolutionary algorithm for training compact single hidden layer feedforward neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008
Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the 2007 IEEE International Conference on Research, 2007
Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Selected Papers of the Fifth International Conference on, 2007
DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007