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ORCIDNgoc Duy Nguyen
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2020 – today
- 2023
[j12]Ngoc Duy Nguyen
, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023)- [j11]Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim:
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Syst. Appl. 213(Part): 119212 (2023) - [j10]Nhat Truong Pham, Duc Ngoc Minh Dang, Ngoc Duy Nguyen, Thanh Nguyen, Hai Nguyen, Balachandran Manavalan, Chee Peng Lim, Sy Dzung Nguyen:
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition. Expert Syst. Appl. 230: 120608 (2023) - [j9]Dev Priya Goel, Kushagra Mahajan, Ngoc Duy Nguyen, Srinivasan Natesan, Chee Peng Lim:
Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network. Neural Comput. Appl. 35(3): 2457-2469 (2023) - [j8]Arun Kumar, Tanya Chauhan, Srinivasan Natesan, Nhat Truong Pham, Ngoc Duy Nguyen, Chee Peng Lim:
Towards an efficient machine learning model for financial time series forecasting. Soft Comput. 27(16): 11329-11339 (2023) - 2022
- [c11]Thanh Tin Nguyen, Nhat Truong Pham, Ngoc Duy Nguyen, Hai Nguyen, Long H. Nguyen, Yong-Guk Kim:
HCILab at Memotion 2.0 2022: Analysis of Sentiment, Emotion and Intensity of Emotion Classes from Meme Images using Single and Multi Modalities (short paper). DE-FACTIFY@AAAI 2022 - [i10]Thanh Tin Nguyen, Long H. Nguyen, Nhat Truong Pham, Liu Tai Nguyen, Van Huong Do, Hai Nguyen, Ngoc Duy Nguyen:
vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM. CoRR abs/2209.01304 (2022) - 2021
- [j7]Ngoc Duy Nguyen, Thanh Thi Nguyen, Peter Vamplew, Richard Dazeley, Saeid Nahavandi:
A Prioritized objective actor-critic method for deep reinforcement learning. Neural Comput. Appl. 33(16): 10335-10349 (2021) - [c10]Huu Huong Xuan Nguyen, Tran Khanh Dang, Ngoc Duy Nguyen:
A Hybrid Approach Using Decision Tree and Multiple Linear Regression for Predicting Students' Performance. FDSE (CCIS Volume) 2021: 23-35 - [c9]Muhammad Umer Hashmi, Ngoc Duy Nguyen, Michael Johnstone, Kathryn Backholer, Asim Bhatti:
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms. FDSE 2021: 68-80 - [i9]Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Van Dung Do, Hai Nguyen, Ngoc Duy Nguyen:
Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds. CoRR abs/2109.03219 (2021) - 2020
- [j6]Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew, Saeid Nahavandi, Richard Dazeley, Chee Peng Lim:
A multi-objective deep reinforcement learning framework. Eng. Appl. Artif. Intell. 96: 103915 (2020) - [j5]Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications. IEEE Trans. Cybern. 50(9): 3826-3839 (2020) - [i8]Ngoc Duy Nguyen, Thanh Thi Nguyen, Saeid Nahavandi:
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning. CoRR abs/2002.11882 (2020) - [i7]Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Saeid Nahavandi:
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework. CoRR abs/2002.11883 (2020)
2010 – 2019
- 2019
- [j4]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi:
Multi-agent behavioral control system using deep reinforcement learning. Neurocomputing 359: 58-68 (2019) - [j3]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. IEEE Syst. J. 13(3): 3590-3603 (2019) - [c8]Thanh Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. ICIT 2019: 1339-1344 - [c7]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Multi-Agent Deep Reinforcement Learning with Human Strategies. ICIT 2019: 1357-1362 - [c6]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. SysCon 2019: 1-7 - [i6]Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. CoRR abs/1901.03327 (2019) - [i5]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. CoRR abs/1902.05183 (2019) - 2018
- [c5]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi, Syed Moshfeq Salaken, Amin Khatami:
A Soft Computing Fusion for River Flow Time Series Forecasting. FUZZ-IEEE 2018: 1-7 - [c4]Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Nguyen:
A Human Mixed Strategy Approach to Deep Reinforcement Learning. SMC 2018: 4023-4028 - [i4]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. CoRR abs/1803.08067 (2018) - [i3]Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Thi Nguyen:
A Human Mixed Strategy Approach to Deep Reinforcement Learning. CoRR abs/1804.01874 (2018) - [i2]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Multi-Agent Deep Reinforcement Learning with Human Strategies. CoRR abs/1806.04562 (2018) - [i1]Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications. CoRR abs/1812.11794 (2018) - 2017
- [j2]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi:
System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey. IEEE Access 5: 27091-27102 (2017) - 2012
- [j1]Ngoc Duy Nguyen, Vyacheslav V. Zalyubovskiy, Minh Thiep Ha, Trong Duc Le, Hyunseung Choo:
Energy-efficient Models for Coverage Problem in Sensor Networks with Adjustable Ranges. Ad Hoc Sens. Wirel. Networks 16(1-3): 1-28 (2012) - 2011
- [c3]Manh Thuong Quan Dao, Ngoc Duy Nguyen, Vyacheslav V. Zalyubovskiy, Hyunseung Choo:
Employing Energy-Efficient Patterns for Coverage Problem to Extend the Network Lifetime. ICCSA (4) 2011: 148-158 - 2010
- [c2]Ngoc Duy Nguyen, Dang Tu Nguyen, Marc-Aurelien Le Gall, Navrati Saxena, Hyunseung Choo:
Greedy Forwarding with Virtual Destination Strategy for Geographic Routing in Wireless Sensor Networks. ICCSA Workshops 2010: 217-221 - [c1]Ngoc Duy Nguyen, Vyacheslav V. Zalyubovskiy, Minh Thiep Ha, Hyunseung Choo:
Energy-Efficient Models for Coverage Problem Using Sensors with Adjustable Sensing Ranges. WCNC 2010: 1-6
Coauthor Index
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