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Khanh Nguyen Trong
Khanh Nguyen Trong
Posts and Telecommunications Institute of Technology (PTIT)
Verified email at ptit.edu.vn
Title
Cited by
Cited by
Year
Optimization of municipal solid waste transportation by integrating GIS analysis, equation-based, and agent-based model
NT Khanh, NTN Anh, NN Doanh, DTH Van
Waste Management, 14–22, 2017
1572017
Gesture recognition using wearable sensors with bi-long short-term memory convolutional neural networks
K Nguyen-Trong, HN Vu, NN Trung, C Pham
IEEE Sensors Journal 21 (13), 15065-15079, 2021
212021
Recognizing hand gestures for controlling home appliances with mobile sensors
KN Trong, H Bui, C Pham
2019 11th International Conference on Knowledge and Systems Engineering (KSE …, 2019
202019
Towards a decision support system for municipal waste collection by integrating geographical information system map, smart devices and agent-based model
TM Hua, TK Nguyen, H Van Dinh Thi, NAN Thi
Proceedings of the 7th Symposium on Information and Communication Technology …, 2016
162016
Application of pams collaboration platform to simulation-based researches in soil science: The case of the micro-organism project
TK Nguyen, B Gaudou, TV Ho, N Marilleau
2009 IEEE-RIVF International Conference on Computing and Communication …, 2009
152009
Optimizing vehicle routing with path and carbon dioxide emission for municipal solid waste collection in Ha Giang, Vietnam
A Dao-Tuan, A Nguyen-Thi-Ngoc, K Nguyen-Trong, A Bui-Tuan, ...
Industrial Networks and Intelligent Systems: 3rd International Conference …, 2018
132018
Pams–a new collaborative framework for agent-based simulation of complex systems
TK Nguyen, N Marilleau, TV Ho
Intelligent Agents and Multi-Agent Systems: 11th Pacific Rim International …, 2008
92008
Modeling and simulation of the effects of landslide on circulation of transports on the mountain roads
MH Nguyen, TV Ho, TK Nguyen, MD Do
International Journal of Advanced Computer Science and Applications 6 (8), 2015
82015
Coastal forest cover change detection using satellite images and convolutional neural networks in Vietnam
K Nguyen-Trong, H Tran-Xuan
IAES International Journal of Artificial Intelligence 11 (3), 930, 2022
72022
Multi-task learning neural networks for breath sound detection and classification in pervasive healthcare
D Tran-Anh, NH Vu, K Nguyen-Trong, C Pham
Pervasive and Mobile Computing 86, 101685, 2022
52022
A method for segmentation of vietnamese identification card text fields
TNT Thanh, KN Trong
International Journal of Advanced Computer Science and Applications 10 (10), 2019
52019
An efficient face detection and recognition
TTN Thi, KN Trong
International Journal of Innovative Technology and Exploring Engineering …, 2018
52018
Determinants of liquidity of commercial banks in Vietnam in the period
N Thi, N Diep, T Nguyen
Determinants of Liquidity of Commercial Banks in Vietnam in the Period 2009 …, 2017
52017
New protocol supporting collaborative simulation
TK Nguyen, N Marilleau, TV Ho, A El Fallah
Proceedings of the 2nd Symposium on Information and Communication Technology …, 2011
42011
PAMS-Plateforme collaborative pour la modélisation et simulation
TK Nguyen
Mémoire de stage, 2008
42008
An End-to-End Method to Extract Information from Vietnamese ID Card Images
K Nguyen-Trong
International Journal of Advanced Computer Science and Applications 13 (3), 2022
32022
A Method for Automatic Vietnamese Speech Segmentation
TT Anh, MN Huu, KN Trong
International Journal of Innovative Technology and Exploring Engineering …, 2019
32019
Multi-modal approach for COVID-19 detection using coughs and self-reported symptoms
K Nguyen-Trong, K Nguyen-Hoang
Journal of Intelligent & Fuzzy Systems 44 (3), 3501-3513, 2023
22023
An adaptive method for classification of noisy respiratory sounds
K Nguyen-Trong
2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 6-11, 2021
22021
Landslide detection with unmanned aerial vehicles
HN Vu, HM Nguyen, CD Pham, AD Tran, KN Trong, C Pham, VH Nguyen
2021 International Conference on Multimedia Analysis and Pattern Recognition …, 2021
22021
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