Wang [18] proposed a tool wear-sensing technique on the basis of multi-sensory data fusion, such as force and vibration, which are used to build an intelligence model for tool condition monitoring. Posada [19] focused on the data fusion of graphics and vision and media technologies, which ...
The right panel illustrates the corresponding monthly averaged model bias in terms of model-data difference for each month. In general, the hindcast simulation successfully captured seasonal cycles in SST and demonstrated favorable agreement with observations. Both model and observed SST demonstrate ...