Greedy Forwarding with Virtual Destination Strategy for Geographic Routing in Wireless Sensor Networks. - Ngoc Duy Nguyen; Dang Tu Nguyen; Marc-Aurelien Le Gall; Navrati Saxena; Hyunseung Choo (ICCSA Workshops, 2010)

Energy-Efficient Models for Coverage Problem Using Sensors with Adjustable Sensing Ranges. - Ngoc Duy Nguyen; Vyacheslav V. Zalyubovskiy; Minh Thiep Ha; Hyunseung Choo (WCNC, 2010)

Employing Energy-Efficient Patterns for Coverage Problem to Extend the Network Lifetime. - Manh Thuong Quan Dao; Ngoc Duy Nguyen; Vyacheslav V. Zalyubovskiy; Hyunseung Choo (ICCSA (4), 2011)

Energy-efficient Models for Coverage Problem in Sensor Networks with Adjustable Ranges. - Ngoc Duy Nguyen; Vyacheslav V. Zalyubovskiy; Minh Thiep Ha; Trong Duc Le; Hyunseung Choo (Ad Hoc Sens. Wirel. Networks, 2012)

System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey. - Ngoc Duy Nguyen; Thanh Nguyen 004; Saeid Nahavandi (IEEE Access, 2017)

A Soft Computing Fusion for River Flow Time Series Forecasting. - Thanh Nguyen 004; Ngoc Duy Nguyen; Saeid Nahavandi; Syed Moshfeq Salaken; Amin Khatami (FUZZ-IEEE, 2018)

A Human Mixed Strategy Approach to Deep Reinforcement Learning. - Ngoc Duy Nguyen; Saeid Nahavandi; Thanh Nguyen 004 (SMC, 2018)

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications. - Thanh Thi Nguyen 001; Ngoc Duy Nguyen; Saeid Nahavandi (CoRR, 2018)

A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. - Thanh Nguyen 004; Ngoc Duy Nguyen; Fernando Bello; Saeid Nahavandi (ICIT, 2019)

Multi-Agent Deep Reinforcement Learning with Human Strategies. - Thanh Nguyen 004; Ngoc Duy Nguyen; Saeid Nahavandi (ICIT, 2019)

Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. - Ngoc Duy Nguyen; Thanh Nguyen 004; Saeid Nahavandi; Asim Bhatti; Glenn Guest (SysCon, 2019)

Multi-agent behavioral control system using deep reinforcement learning. - Ngoc Duy Nguyen; Thanh Nguyen 004; Saeid Nahavandi (Neurocomputing, 2019)

A Review of Situation Awareness Assessment Approaches in Aviation Environments. - Thanh Nguyen 004; Chee Peng Lim; Ngoc Duy Nguyen; Lee Gordon-Brown; Saeid Nahavandi (IEEE Syst. J., 2019)

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning. - Ngoc Duy Nguyen; Thanh Thi Nguyen 001; Saeid Nahavandi (CoRR, 2020)

Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework. - Ngoc Duy Nguyen; Thanh Thi Nguyen 001; Hai Nguyen; Saeid Nahavandi (CoRR, 2020)

A multi-objective deep reinforcement learning framework. - Thanh Thi Nguyen 001; Ngoc Duy Nguyen; Peter Vamplew 001; Saeid Nahavandi; Richard Dazeley; Chee Peng Lim (Eng. Appl. Artif. Intell., 2020)

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications. - Thanh Thi Nguyen 001; Ngoc Duy Nguyen; Saeid Nahavandi (IEEE Trans. Cybern., 2020)

Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms. - Muhammad Umer Hashmi; Ngoc Duy Nguyen; Michael Johnstone; Kathryn Backholer; Asim Bhatti (FDSE, 2021)

A Hybrid Approach Using Decision Tree and Multiple Linear Regression for Predicting Students' Performance. - Huu Huong Xuan Nguyen; Tran Khanh Dang; Ngoc Duy Nguyen (FDSE (CCIS Volume), 2021)

Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds. - Long H. Nguyen; Nhat Truong Pham; Van Huong Do; Liu Tai Nguyen; Thanh Tin Nguyen; Van Dung Do; Hai Nguyen; Ngoc Duy Nguyen (CoRR, 2021)

A Prioritized objective actor-critic method for deep reinforcement learning. - Ngoc Duy Nguyen; Thanh Thi Nguyen 001; Peter Vamplew 001; Richard Dazeley; Saeid Nahavandi (Neural Comput. Appl., 2021)

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). - Thanh Tin Nguyen; Nhat Truong Pham; Ngoc Duy Nguyen; Hai Nguyen; Long H. Nguyen; Yong-Guk Kim (DE-FACTIFY@AAAI, 2022)

vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM. - Thanh Tin Nguyen; Long H. Nguyen; Nhat Truong Pham; Liu Tai Nguyen; Van Huong Do; Hai Nguyen; Ngoc Duy Nguyen (CoRR, 2022)

Towards designing a generic and comprehensive deep reinforcement learning framework. - Ngoc Duy Nguyen; Thanh Nguyen 004; Nhat Truong Pham; Hai Nguyen; Dang Tu Nguyen; Thanh Thi Nguyen 001; Chee Peng Lim; Michael Johnstone; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi (Appl. Intell., 2023)

Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. - Long H. Nguyen; Nhat Truong Pham; Van Huong Do; Liu Tai Nguyen; Thanh Tin Nguyen; Hai Nguyen; Ngoc Duy Nguyen; Thanh Thi Nguyen 001; Sy Dzung Nguyen; Asim Bhatti; Chee Peng Lim (Expert Syst. Appl., 2023)

Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network. - Dev Priya Goel; Kushagra Mahajan; Ngoc Duy Nguyen; Srinivasan Natesan; Chee Peng Lim (Neural Comput. Appl., 2023)

Towards an efficient machine learning model for financial time series forecasting. - Arun Kumar; Tanya Chauhan; Srinivasan Natesan; Nhat Truong Pham; Ngoc Duy Nguyen; Chee Peng Lim (Soft Comput., 2023)

Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition. - Nhat Truong Pham; Duc Ngoc Minh Dang; Ngoc Duy Nguyen; Thanh Nguyen 004; Hai Nguyen; Balachandran Manavalan; Chee Peng Lim; Sy Dzung Nguyen (Expert Syst. Appl., 2023)