|
|
|
Dangli Wang, Yangran Meng, Shuzhe Chen, Cheng Xie and Zhao Liu
Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT?Prophet, is proposed based on the discrete wavelet decomposition...
ver más
|
|
|
|
|
|
Ibrahim Furkan Ince
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ...
ver más
|
|
|
|
|
|
Hongqing Liu, Liming Hou, Zhen Luo, Yi Zhou, Xiaorong Jing and Trieu-Kien Truong
In this paper, an image recovery problem under the case of salt-and-pepper noise and data missing that degrade image quality is addressed if they are not effectively handled, where the salt-and-pepper noise as the impulsive noise is remodeled as a sparse...
ver más
|
|
|
|
|
|
Animesh Agarwal, Brooks D. Rabideau and Ahmed E. Ismail
We present a hierarchical coarse-graining framework for modeling semidilute polymer solutions, based on the wavelet-accelerated Monte Carlo (WAMC) method. This framework forms a hierarchy of resolutions to model polymers at length scales that cannot be r...
ver más
|
|
|
|
|
|
Acharyya, M. De, R. K. Kundu, M. K.
Pág. 2900 - 2905
|
|
|