Nhan T. Nguyen

Orcid: 0000-0001-6961-0147

Affiliations:
  • NASA Ames Research Center, Moffett Field, CA, USA


According to our database1, Nhan T. Nguyen authored at least 27 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Leveraging Deep Neural Networks for Massive MIMO Data Detection.
IEEE Wirel. Commun., February, 2023

2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

2020
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans.
CoRR, 2020

Detection and Segmentation of Endoscopic Artefacts and Diseases Using Deep Architectures.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
A neuroadaptive architecture for model reference control of uncertain dynamical systems with performance guarantees.
Syst. Control. Lett., 2019

The Threshold Effect of Government's External Debt on Economic Growth in Emerging Countries.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

MRAC with Time-varying Reference Model from Convex Combination.
Proceedings of the 2019 American Control Conference, 2019

2018
Stability limit of human-in-the-loop model reference adaptive control architectures.
Int. J. Control, 2018

A set-theoretic model reference adaptive control architecture for disturbance rejection and uncertainty suppression with strict performance guarantees.
Int. J. Control, 2018

Time-Varying Modification of Reference Model for Adaptive Control with Performance Optimization.
Proceedings of the 2018 Annual American Control Conference, 2018

Robust Gust Load Alleviation Control using Disturbance Observer for Generic Flexible Wing Aircraft in Cruising Condition.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Adaptive Disturbance Torque Estimation for Orbiting Spacecraft Using Recursive Least-Squares Methods.
J. Aerosp. Inf. Syst., 2017

Adaptive control constraint enforcement through reactive parameter scaling.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2014
Fuzzy model-based pitch stabilization and wing vibration suppression of flexible aircraft.
Proceedings of the American Control Conference, 2014

2013
Least-Squares Model-Reference Adaptive Control with Chebyshev Orthogonal Polynomial Approximation.
J. Aerosp. Inf. Syst., 2013

2012
Optimal control modification for robust adaptive control with large adaptive gain.
Syst. Control. Lett., 2012

'Adaptive Autopilot Designs for Improved Tracking and Stability'.
Proceedings of the Infotech@Aerospace 2012, 2012

2010
Stability, Convergence, and Verification and Validation Challenges of Neural Net Adaptive Flight Control.
Proceedings of the Applications of Neural Networks in High Assurance Systems, 2010

Robustness quantification of recurrent neural network using unscented transform.
Neurocomputing, 2010

Optimal control modification adaptive law for time-scale separated systems.
Proceedings of the American Control Conference, 2010

2009
Hybrid Intelligent Flight Control with Adaptive Learning Parameter Estimation.
J. Aerosp. Comput. Inf. Commun., 2009

SNAC convergence and use in adaptive autopilot design.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Design of neural network-based estimator for tool wear modeling in hard turning.
J. Intell. Manuf., 2008

Bounded linear stability margin analysis of nonlinear hybrid adaptive control.
Proceedings of the American Control Conference, 2008

Adaptive fault tolerant control design for a model of DC-X dynamics.
Proceedings of the American Control Conference, 2008


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