Titlebook: Artificial Intelligence and Mobile Services – AIMS 2019; 8th International Co De‘Wang,Liang-Jie Zhang Conference proceedings 2019 Springer

AIL

ECGAN: Image Translation with Multi-scale Relativistic Average Discriminator, as image restoration and style transfer. As one of the most popular frameworks, CycleGAN with cycle consistency loss can transform between different domains with unpaired training data, which greatly expands its application efficiency. However, due to its under-constrained mapping and dissatisfacto

unstable-angina

符合規(guī)定

cauda-equina

GRASP Method for Vehicle Routing with Delivery Place Selection,elivery place selection. The problem can be solved by stepwise optimization, i.e., first selecting delivery sites and then defining routes based on that selection. Alternatively, it can be solved by jointly optimizing delivery site selection and routing. We investigate the effects of stepwise optimi

無瑕疵

Indexed Search, decades. Some of them are considered to be among the main AI search algorithms such as Best First Search, A*, Iterative Deepening Search, etc. The others use these main algorithms as a basis and include more heuristics to generate newer algorithms such as Iterative Deepening A* (IDA*), Branch and B

ostrish

capsule

休戰(zhàn)

Valves

放縱

Named Entity Recognition in Clinical Text Based on Capsule-LSTM for Privacy Protection,ical task in medical intelligence. It aims at identifying various types of protected health information (PHI) from clinical text and then replace them with special tokens. Along with the development of deep learning technology, lots of neural-network-based methods have been proposed to deal with Nam