Feature Extraction and Selection in Tool Condition Monitoring System. - Jie Sun 011; Geok Soon Hong; Mustafizur Rahman 002; Yoke San Wong (Australian Joint Conference on Artificial Intelligence, 2002)

The Application of Nonstandard Support Vector Machine in Tool Condition Monitoring System. - Jie Sun 011; Geok Soon Hong; Mustafizur Rahman 002; Yoke San Wong (DELTA, 2004)

Identification of feature set for effective tool condition monitoring - a case study in titanium machining. - Jie Sun 011; Yoke San Wong; Geok Soon Hong; Mustafizur Rahman 002; Zhigang Wang (CASE, 2008)

Evaluation and optimization of passive vibration controller design for flexible beams. - Jie Sun 011; Aun Neow Poo; Marcelo H. Ang; Chee-Meng Chew; Geok-Soon Hong; Kok Kiong Tan; Clarence W. de Silva (SMC, 2008)

Feature analysis in tool condition monitoring: a case study in titanium machining. - Jie Sun 011; Yoke San Wong; Geok Soon Hong; Mustafizur Rahman 002 (Int. J. Comput. Appl. Technol., 2012)

Fabrication of electronic devices with multi-material drop-on-demand dispensing system. - Jie Sun 011; Jerry Y. H. Fuh; Eng San Thian; Geok Soon Hong; Yoke San Wong; Rui Yang 007; Kok Kiong Tan (Int. J. Comput. Integr. Manuf., 2013)

Displacement and thermal error compensation using RBF Networks. - Rui Yang 007; Jerry Y. H. Fuh; Jie Sun 011; Arthur Tay; Kok Kiong Tan (Control. Intell. Syst., 2014)

An RBF neural network approach to geometric error compensation with displacement measurements only. - Rui Yang 007; Kok Kiong Tan; Arthur Tay; Sunan Huang 001; Jie Sun 011; Jerry Y. H. Fuh; Yoke San Wong; Chek Sing Teo; Zidong Wang 001 (Neural Comput. Appl., 2017)