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Nguyen Cong Thuong
Person information
- affiliation: CSIRO, Brisbane, Australia
- affiliation (2015 - 2016): RMIT University, Melbourne, Australia
- affiliation (PhD 2015): Deakin University, Waurn Ponds, Australia
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2020 – today
- 2022
- [i4]Thuong Nguyen:
Adaptive Central-Upwind Scheme on Triangular Grids for the Shallow Water Model with variable density. CoRR abs/2201.10073 (2022) - 2020
- [c15]Nhung Pham, Thuong Nguyen, Thinh Tran, Trung T. Nguyen, Huong Ha, Binh T. Nguyen:
SEED: A Framework for Stress Estimation Using Emotiv Devices. SoMeT 2020: 435-446 - [i3]Yekaterina Epshteyn, Thuong Nguyen:
Adaptive Central-Upwind Scheme on Triangular Grids for the Saint-Venant System. CoRR abs/2011.06143 (2020)
2010 – 2019
- 2019
- [j5]Jonathan Liono
, Prem Prakash Jayaraman
QDaS: Quality driven data summarisation for effective storage management in Internet of Things. J. Parallel Distributed Comput. 127: 196-208 (2019) - 2018
- [j4]Wei Shao
BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access. IEEE Internet Things J. 5(6): 5227-5239 (2018) - [c14]Duc Viet Le, Wouter A. P. van Kleunen, Thuong Nguyen, Nirvana Meratnia, Paul J. M. Havinga:
SomBe: Self-Organizing Map for Unstructured and Non-Coordinated iBeacon Constellations. PerCom 2018: 1-10 - [c13]Duc Viet Le, Thuong Nguyen, Hans Scholten, Paul J. M. Havinga:
Probability of Task Completion and Energy Consumption in Cooperative Pervasive Mobile Computing. PerCom Workshops 2018: 34-39 - 2017
- [j3]Nguyen Cong Thuong
A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive Mob. Comput. 38: 396-417 (2017) - [j2]Duc Viet Le
Symbiotic Sensing for Energy-Intensive Tasks in Large-Scale Mobile Sensing Applications. Sensors 17(12): 2763 (2017) - [c12]Yoke Jia Thong, Thuong Nguyen, Qing Zhang, Mohan Karunanithi, Lei Yu:
Predicting food nutrition facts using pocket-size near-infrared sensor. EMBC 2017: 742-745 - [c11]Wei Shao
Who Opened the Room? Device-Free Person Identification Using Bluetooth Signals in Door Access. iThings/GreenCom/CPSCom/SmartData 2017: 68-75 - [c10]Thuong Nguyen, Qing Zhang, Duc Viet Le, Mohan Karunanithi:
Dirichlet Process Gaussian Mixture Model for Activity Discovery in Smart Homes with Ambient Sensors. MobiQuitous 2017: 383-392 - [i2]Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo, Nguyen Cong Thuong:
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric. CoRR abs/1703.08933 (2017) - 2016
- [j1]Nguyen Cong Thuong
Nonparametric discovery of movement patterns from accelerometer signals. Pattern Recognit. Lett. 70: 52-58 (2016) - [c9]Nguyen Thanh Binh, Vu Nguyen
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. DSAA 2016: 389-398 - [c8]Jonathan Liono, Nguyen Cong Thuong
UTE: A Ubiquitous Data Exploration Platform for Mobile Sensing Experiments. MDM 2016: 349-352 - [c7]Nguyen Cong Thuong
SECC: Simultaneous extraction of context and community from pervasive signals. PerCom 2016: 1-9 - [i1]Nguyen Cong Thuong, Truyen Tran, Shivapratap Gopakumar, Dinh Q. Phung, Svetha Venkatesh:
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. CoRR abs/1605.01116 (2016) - 2014
- [c6]Nguyen Cong Thuong
A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data. ICPR 2014: 2017-2022 - [c5]Nguyen Thanh Binh, Nguyen Cong Thuong
Unsupervised inference of significant locations from WiFi data for understanding human dynamics. MUM 2014: 232-235 - [c4]Nguyen Cong Thuong
Fixed-lag particle filter for continuous context discovery using Indian Buffet Process. PerCom 2014: 20-28 - [c3]Thuong Nguyen
Bayesian nonparametric extraction of hidden contexts from pervasive honest signals. PerCom Workshops 2014: 168-170 - 2013
- [c2]Nguyen Cong Thuong
Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes. PerCom 2013: 47-55 - 2012
- [c1]Nguyen Cong Thuong
Comparing three lower bounding methods for DTW in time series classification. SoICT 2012: 200-206
Coauthor Index
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