Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kemeng Xu"'
Autor:
Shaopeng Li, Jiangtao Tian, Ke Li, Kemeng Xu, Jiaqi Zhang, Tingting Chen, Yang Li, Hongbo Wang, Qiye Wu, Jinchun Xie, Yongjun Men, Weiping Liu, Xiaodan Zhang, Wenhan Cao, Zhongjie Huang
Publikováno v:
Advanced Science, Vol 11, Iss 42, Pp n/a-n/a (2024)
Abstract Artificial ears with intelligence, which can sensitively detect sound—a variant of pressure—and generate consciousness and logical decision‐making abilities, hold great promise to transform life. However, despite the emerging flexible
Externí odkaz:
https://doaj.org/article/4ec768f58619425bb391e58969ccac1c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 4779-4800 (2024)
The objective of EEG-based emotion recognition is to classify emotions by decoding signals, with potential applications in the fields of artificial intelligence and bioinformatics. Cross-subject emotion recognition is more difficult than intra-subjec
Externí odkaz:
https://doaj.org/article/1b8aa90986ba49f4946eae166452b9bf
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30174- (2024)
At present, most methods to improve the accuracy of emotion recognition based on electroencephalogram (EEG) are achieved by means of increasing the number of channels and feature types. This is to use the big data to train the classification model bu
Externí odkaz:
https://doaj.org/article/19fa8b222c394d2298bbd4d352620822
Publikováno v:
Atmosphere, Vol 15, Iss 4, p 392 (2024)
High-temperature and drought events significantly impact crop growth and development. In the soybean-producing region of the Guanzhong Plain in China, understanding the dynamics of these climatic phenomena is vital for soybean yield preservation. Thr
Externí odkaz:
https://doaj.org/article/f4a8a2e8b96a439ab0c595b2ff4ac7f7
Publikováno v:
Sensors, Vol 23, Iss 3, p 1622 (2023)
The original EEG data collected are the 1D sequence, which ignores spatial topology information; Feature Pyramid Networks (FPN) is better at small dimension target detection and insufficient feature extraction in the scale transformation than CNN. We
Externí odkaz:
https://doaj.org/article/3df19e37ed4a469988d85882533250b1