Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Xinhong HEI"'
Autor:
Aimin Li, Haotian Zhou, Siqi Xiong, Junhuai Li, Saurav Mallik, Rong Fei, Yajun Liu, Hongfang Zhou, Xiaofan Wang, Xinhong Hei, Lei Wang
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Long non-coding RNAs (lncRNAs) are RNA transcripts of more than 200 nucleotides that do not encode canonical proteins. Their biological structure is similar to messenger RNAs (mRNAs). To distinguish between lncRNA and mRNA transcr
Externí odkaz:
https://doaj.org/article/3842969358e14a56aafe1854bab81fcf
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract SiamFC++ only extracts the object feature of the first frame as a tracking template, and only uses the highest level feature maps in both the classification branch and the regression branch, so that the respective characteristics of the two
Externí odkaz:
https://doaj.org/article/e71bd2f121be46e5a79c0b98f6fe22af
Autor:
Yewen Shi, Yitong Zhang, Zine Cao, Lina Ma, Yuqi Yuan, Xiaoxin Niu, Yonglong Su, Yushan Xie, Xi Chen, Liang Xing, Xinhong Hei, Haiqin Liu, Shinan Wu, Wenle Li, Xiaoyong Ren
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Obstructive sleep apnea (OSA) is a globally prevalent disease with a complex diagnostic method. Severe OSA is associated with multi-system dysfunction. We aimed to develop an interpretable machine learning (ML) model for predictin
Externí odkaz:
https://doaj.org/article/2c70e932bea44923bbad9c6e7b440abe
Publikováno v:
IET Image Processing, Vol 17, Iss 11, Pp 3235-3257 (2023)
Abstract In recent years, meaningful visual image encryption schemes that the plain image is compressed and encrypted and then hidden into the carrier image have received increasing attention. This paper proposes a new meaningful visual image encrypt
Externí odkaz:
https://doaj.org/article/36bd5be4d17f43a2997d5d7d387bc4e5
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-15 (2023)
Abstract Background Motor imagery brain-computer interfaces (BCIs) is a classic and potential BCI technology achieving brain computer integration. In motor imagery BCI, the operational frequency band of the EEG greatly affects the performance of moto
Externí odkaz:
https://doaj.org/article/20934c2a11a141d1abd9c179f45fc522
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2986 (2024)
As a crucial task for disease diagnosis, existing semi-supervised segmentation approaches process labeled and unlabeled data separately, ignoring the relationships between them, thereby limiting further performance improvements. In this work, we intr
Externí odkaz:
https://doaj.org/article/c49690c37982485695b085dfad94592f
Publikováno v:
IET Computer Vision, Vol 17, Iss 1, Pp 51-61 (2023)
Abstract The object tracking algorithm based on Siamese network often extracts the deep feature of the target to be tracked from the first frame of the video sequence as a template, and uses the template for the whole tracking process. Because the ma
Externí odkaz:
https://doaj.org/article/d9bb27f3aea342f4a06ce1f5eb2ef9cc
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2741 (2024)
Automatic image segmentation is vital for the computer-aided determination of treatment directions, particularly in terms of labelling lesions or infected areas. However, the manual labelling of disease regions is inconsistent and a time-consuming as
Externí odkaz:
https://doaj.org/article/7af5b85c29374532a61c579640ca48c8
Publikováno v:
Sensors, Vol 24, Iss 6, p 1816 (2024)
Crowd counting is an important task that serves as a preprocessing step in many applications. Despite obvious improvement reported by various convolutional-neural-network-based approaches, they only focus on the role of deep feature maps while neglec
Externí odkaz:
https://doaj.org/article/009e5d77f8784f73b25083ac011fb9ad
Publikováno v:
CAAI Artificial Intelligence Research, Vol 2, p 9150013 (2023)
Aiming at the problem of poor tracking robustness caused by severe occlusion, deformation, and object rotation of deep learning object tracking algorithm in complex scenes, an improved deep reinforcement learning object tracking algorithm based on ac
Externí odkaz:
https://doaj.org/article/455b8c9ecbd34549833127a71f3cdde7