Zobrazeno 1 - 10
of 729
pro vyhledávání: '"HAO Chao"'
Publikováno v:
Land, Vol 13, Iss 7, p 1025 (2024)
Amid rapid urbanization, shantytown redevelopment profoundly transforms urban environments and catalyzes substantial changes in social, economic, and family structures. Yet, most previous studies have focused narrowly on the outcomes of single reside
Externí odkaz:
https://doaj.org/article/e9eb8de30abd4d0f8425bea81eb16e49
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/c8d8dc45ea1e49a09825590aa1edfec5
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
In this paper, a novel EEG emotion recognition method based on residual graph attention neural network is proposed. The method constructs a three-dimensional sparse feature matrix according to the relative position of electrode channels, and inputs i
Externí odkaz:
https://doaj.org/article/8c795fdaeeb84362b34d00e817273ca9
Autor:
HAO Mo, SHI Peiwu, SHEN Qunhong, ZHANG Zhaoyang, CHEN Zheng, PU Chuan, XU Lingzhong, HU Zhi, MA Anning, GONG Zhaohui, XU Tianqiang, WANG Panshi, WANG Hua, HAO Chao, HUANGFU Huihui, CHEN Yang, ZHOU Qingyu, LI Chengyue
Publikováno v:
Shanghai yufang yixue, Vol 34, Iss 1, Pp 22-27 (2022)
Building a strong public health system has become an urgent task in the new era. Based on more than eight years of systematic research, we believe that five aspects need to be prioritized for a strong system. First, we should change the perspecti
Externí odkaz:
https://doaj.org/article/6082a20a2eac436c9e26bcb5243ace0b
The vision-language modeling capability of multi-modal large language models has attracted wide attention from the community. However, in medical domain, radiology report generation using vision-language models still faces significant challenges due
Externí odkaz:
http://arxiv.org/abs/2408.12141
The action anticipation task refers to predicting what action will happen based on observed videos, which requires the model to have a strong ability to summarize the present and then reason about the future. Experience and common sense suggest that
Externí odkaz:
http://arxiv.org/abs/2408.02769
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 5, Iss , Pp 100378- (2022)
Although GSA has strong search ability, it is still easy to fall into local optimum and accuracy is often not high enough. Inspired by the concept of centripetal force, we propose a centripetal force based gravity search algorithm, named CF-GSA. It c
Externí odkaz:
https://doaj.org/article/f4a56e729a3640428178807acf8544f8
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2022 (2022)
In the era of big data, more and more datasets are gradually beyond the application scope of traditional clustering algorithms because of their large scale and high dimensions. In order to break through the limitations, incremental mechanism and feat
Externí odkaz:
https://doaj.org/article/e285ce7249424c47a31e77601784359a
Autor:
Hao Chao, Yongli Liu
Publikováno v:
IEEE Access, Vol 8, Pp 33002-33012 (2020)
Recently, much attention has been attracted to automatic emotion recognition based on multi-channel electroencephalogram (EEG) signals, with the rapid development of machine learning methods. However, traditional methods ignore the correlation inform
Externí odkaz:
https://doaj.org/article/35c235d8f8864c96ae464c0d42ac0d8a
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 5, p 84 (2022)
In traditional density peak clustering, when the density distribution of samples in a dataset is uneven, the density peak points are often concentrated in the region with dense sample distribution, which is easy to affect clustering accuracy. Under t
Externí odkaz:
https://doaj.org/article/7946f90686c846dda3d29e1cdae66794