Results 261 to 270 of about 212,585 (307)

Transformer based HF communication demodulation. [PDF]

open access: yesSci Rep
Lu C   +5 more
europepmc   +1 more source

Addressing the Problem of Lysine Glycation Prediction in Proteins via Recurrent Neural Networks. [PDF]

open access: yesBiomed Res Int
Que-Salinas U   +5 more
europepmc   +1 more source

MM-RNN: A Multimodal RNN for Precipitation Nowcasting

IEEE Transactions on Geoscience and Remote Sensing, 2023
Precipitation nowcasting, the high-resolution forecasting of precipitation in a short term, is essential in various applications in the real world. Previous deep learning methods use huge samples to learn potential laws, and the learning process lacks ...
Zhifeng Ma, Hao Zhang, Jie Liu
openaire   +2 more sources

MiniROAD: Minimal RNN Framework for Online Action Detection

IEEE International Conference on Computer Vision, 2023
Online Action Detection (OAD) is the task of identifying actions in streaming videos without access to future frames. Much effort has been devoted to effectively capturing long-range dependencies, with transformers receiving the spotlight for their ...
Joungbin An   +4 more
semanticscholar   +1 more source

CAM-RNN: Co-Attention Model Based RNN for Video Captioning

IEEE Transactions on Image Processing, 2019
Video captioning is a technique that bridges vision and language together, for which both visual information and text information are quite important. Typical approaches are based on the recurrent neural network (RNN), where the video caption is generated word by word, and the current word is predicted based on the visual content and previously ...
Bin Zhao, Xuelong Li, Xiaoqiang Lu
openaire   +2 more sources

Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application

IEEE Transactions on Neural Networks and Learning Systems, 2023
The augmented Sylvester equation, as a comprehensive equation, is of great significance and its special cases (e.g., Lyapunov equation, Sylvester equation, Stein equation) are frequently encountered in various fields.
Jingkun Yan, Long Jin, Xin Luo, Shuai Li
semanticscholar   +1 more source

HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Although video summarization has achieved great success in recent years, few approaches have realized the influence of video structure on the summarization results. As we know, the video data follow a hierarchical structure, i.e., a video is composed of shots, and a shot is composed of several frames.
Bin Zhao, Xuelong Li, Xiaoqiang Lu
openaire   +1 more source

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