13 citations · 32 across the 5 of their papers we have counts for
5 papers
Efficient Neural Network Approaches for Leather Defect Classification
Sze-Teng Liong, Y. S. Gan, Kun-Hong Liu +5
Genuine leather, such as the hides of cows, crocodiles, lizards and goats usually contain natural and artificial defects, like holes, fly bites, tick marks, veining, cuts, wrinkles…
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification
Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang +2
Leather is a type of natural, durable, flexible, soft, supple and pliable material with smooth texture. It is commonly used as a raw material to manufacture luxury consumer goods f…
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, Danna Zheng +5
Owing to the development and advancement of artificial intelligence, numerous works were established in the human facial expression recognition system. Meanwhile, the detection and…
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation
Kun-hong Liu, Yong Xu, De-Shuang Huang
Traffic grooming is widely employed to reduce the number of ADM's and wavelengths. We consider the problem of grooming of dynamic traffic in WDM tree and star networks in this pape…
Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm
Kun-hong Liu, Yong Xu, De-shuang Huang +1
The advances in WDM technology lead to the great interest in traffic grooming problems. As traffic often changes from time to time, the problem of grooming dynamic traffic is of gr…