|
|
|
|
|
Yao Meng, Xianku Zhang, Guoqing Zhang, Xiufeng Zhang and Yating Duan
In order to establish a sparse and accurate ship motion prediction model, a novel Bayesian probability prediction model based on relevance vector machine (RVM) was proposed for nonparametric modeling. The sparsity, effectiveness, and generalization of RV...
ver más
|
|
|
|
|
|
|
|
|
Fengrui Zhang, Dayong Ning, Jiaoyi Hou, Hongwei Du, Hao Tian, Kang Zhang and Yongjun Gong
Efficiently salvaging shipwrecks is of the utmost importance for safeguarding shipping safety and preserving the marine ecosystem. However, traditional methods find it difficult to salvage shipwrecks in deep water. This article presents a novel salvage t...
ver más
|
|
|
|
|
|
|
|
|
Xiao Lang, Da Wu, Wuliu Tian, Chi Zhang, Jonas W. Ringsberg and Wengang Mao
Ocean-crossing ship structures continuously suffer from wave-induced loads when sailing at sea. The encountered wave loads cause significant variations in ship structural stresses, leading to accumulated fatigue damage. Where large inherent uncertainties...
ver más
|
|
|
|
|
|
|
|
|
Michail Danousis and Christos Goumopoulos
With age, a decline in motor and cognitive functionality is inevitable, and it greatly affects the quality of life of the elderly and their ability to live independently. Early detection of these types of decline can enable timely interventions and suppo...
ver más
|
|
|
|
|
|
|
|
|
Obada Issa and Tamer Shanableh
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature vectors by computing the mean a...
ver más
|
|
|
|