|
|
|
|
|
Zhijie Feng, Po Hu, Shuiqing Li and Dongxue Mo
Accurate wave prediction can help avoid disasters. In this study, the significant wave height (SWH) prediction performances of the recurrent neural network (RNN), long short-term memory network (LSTM), and gated recurrent unit network (GRU) were compared...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruoming Zhai, Jingui Zou, Yifeng He and Liyuan Meng
Point-based networks have been widely used in the semantic segmentation of point clouds owing to the powerful 3D convolution neural network (CNN) baseline. Most of the current methods resort to intermediate regular representations for reorganizing the st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xintong Wang and Chuangang Zhao
Recent research shows recurrent neural network-Transducer (RNN-T) architecture has become a mainstream approach for streaming speech recognition. In this work, we investigate the VGG2 network as the input layer to the RNN-T in streaming speech recognitio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Qneibi, Nidal Jaradat and Nour Emwas
Essential oils have been advertised endlessly to be very beneficial for the health of humans, and an extensive amount of research examines the validity of such claims. In contribution, the current study evaluates the neuroprotective properties of Citrone...
ver más
|
|
|
|
|
|