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Hong, Geok-Soon
Hong, Geok-Soon
Verified email at nus.edu.sg
Title
Cited by
Cited by
Year
An overview of 3D printing technologies for food fabrication
J Sun, W Zhou, D Huang, JYH Fuh, GS Hong
Food and bioprocess technology 8, 1605-1615, 2015
4972015
Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
K Zhu, Y San Wong, GS Hong
International Journal of Machine Tools and Manufacture 49 (7-8), 537-553, 2009
4922009
A review on 3D printing for customized food fabrication
J Sun, Z Peng, W Zhou, JYH Fuh, GS Hong, A Chiu
Procedia Manufacturing 1, 308-319, 2015
4212015
A cost-sensitive deep belief network for imbalanced classification
C Zhang, KC Tan, H Li, GS Hong
IEEE transactions on neural networks and learning systems 30 (1), 109-122, 2018
2552018
Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring
Y Zhang, GS Hong, D Ye, K Zhu, JYH Fuh
Materials & Design 156, 458-469, 2018
2532018
Defect detection in selective laser melting technology by acoustic signals with deep belief networks
D Ye, GS Hong, Y Zhang, K Zhu, JYH Fuh
The International Journal of Advanced Manufacturing Technology 96, 2791-2801, 2018
2252018
Multi-category micro-milling tool wear monitoring with continuous hidden Markov models
K Zhu, Y San Wong, GS Hong
Mechanical Systems and Signal Processing 23 (2), 547-560, 2009
2122009
3D food printing an innovative way of mass customization in food fabrication
J Sun, Z Peng, L Yan, JYH Fuh, GS Hong
International Journal of Bioprinting 1 (1), 2015
1912015
Multiclassification of tool wear with support vector machine by manufacturing loss consideration
J Sun, M Rahman, YS Wong, GS Hong
International Journal of Machine Tools and Manufacture 44 (11), 1179-1187, 2004
1502004
Nozzle condition monitoring in 3D printing
Y Tlegenov, GS Hong, WF Lu
Robotics and Computer-Integrated Manufacturing 54, 45-55, 2018
1492018
In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks
D Ye, JYH Fuh, Y Zhang, GS Hong, K Zhu
ISA transactions 81, 96-104, 2018
1372018
Machine selection rules in a dynamic job shop
V Subramaniam, GK Lee, T Ramesh, GS Hong, YS Wong
The International Journal of Advanced Manufacturing Technology 16, 902-908, 2000
1282000
Profile error compensation in fast tool servo diamond turning of micro-structured surfaces
GS Hong, Y San Wong
International Journal of Machine Tools and Manufacture 52 (1), 13-23, 2012
1262012
Series damper actuator: a novel force/torque control actuator
CM Chew, GS Hong, W Zhou
4th IEEE/RAS International Conference on Humanoid Robots, 2004. 2, 533-546, 2004
1152004
Bayesian-inference-based neural networks for tool wear estimation
J Dong, KVR Subrahmanyam, YS Wong, GS Hong, AR Mohanty
The International Journal of Advanced Manufacturing Technology 30, 797-807, 2006
1022006
Flank wear measurement by a threshold independent method with sub-pixel accuracy
WH Wang, GS Hong, YS Wong
International Journal of Machine Tools and Manufacture 46 (2), 199-207, 2006
1022006
Sensor fusion for online tool condition monitoring in milling
WH Wang, GS Hong, YS Wong, KP Zhu
International Journal of Production Research 45 (21), 5095-5116, 2007
982007
Flank wear measurement by successive image analysis
W Wang, YS Wong, GS Hong
Computers in Industry 56 (8-9), 816-830, 2005
962005
Using neural network for tool condition monitoring based on wavelet decomposition
GS Hong, M Rahman, Q Zhou
International Journal of Machine Tools and Manufacture 36 (5), 551-566, 1996
951996
In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches
Y Zhang, JYH Fuh, D Ye, GS Hong
Additive Manufacturing 25, 263-274, 2019
942019
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