Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jinlu Jia"'
Publikováno v:
Symmetry, Vol 13, Iss 1, p 28 (2020)
Cloud detection plays a vital role in remote sensing data preprocessing. Traditional cloud detection algorithms have difficulties in feature extraction and thus produce a poor detection result when processing remote sensing images with uneven cloud d
Externí odkaz:
https://doaj.org/article/48a423e81a64454dbabbf0db1cc968f1
Publikováno v:
Entropy, Vol 22, Iss 12, p 1358 (2020)
Target tracking technology that is based on aerial videos is widely used in many fields; however, this technology has challenges, such as image jitter, target blur, high data dimensionality, and large changes in the target scale. In this paper, the r
Externí odkaz:
https://doaj.org/article/98defd7c55b5497b9e884f33aa34b041
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4999-5011
Facial expression recognition (FER) has been one of the research focuses in recent years due to its significance in human-computer interactions. However, there are still challenges in the field of FER caused by the diversity and variation of facial e
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:10251-10259
The TransR model solves the problem that TransE and TransH models are not sufficient for modeling in public spaces, and is considered a highly potential knowledge representation model. However, TransR still adopts the translation principles based on
Publikováno v:
Symmetry, Vol 13, Iss 28, p 28 (2021)
Symmetry
Volume 13
Issue 1
Symmetry
Volume 13
Issue 1
Cloud detection plays a vital role in remote sensing data preprocessing. Traditional cloud detection algorithms have difficulties in feature extraction and thus produce a poor detection result when processing remote sensing images with uneven cloud d
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35
Aerial image-based target detection has problems such as low accuracy in multiscale target detection situations, slow detection speed, missed targets and falsely detected targets. To solve this problem, this paper proposes a detection algorithm based
Publikováno v:
Entropy, Vol 22, Iss 1358, p 1358 (2020)
Entropy
Entropy
Target tracking technology that is based on aerial videos is widely used in many fields; however, this technology has challenges, such as image jitter, target blur, high data dimensionality, and large changes in the target scale. In this paper, the r
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Based on the depth feature of facial micro-expression recognition, such as by using Convolutional Neural Network, the method of classifying facial micro-expression recognition has been gradually improved. Compared with the traditional feature extract
Autor:
Siyuan Yu, Han Yang, Tingdong Li, Haifeng Pan, Shuling Ren, Guoxing Luo, Jinlu Jiang, Linqi Yu, Binbing Chen, Yali Zhang, Shaojuan Wang, Rui Tian, Tianying Zhang, Shiyin Zhang, Yixin Chen, Quan Yuan, Shengxiang Ge, Jun Zhang, Ningshao Xia
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Protein delivery with cell-penetrating peptides suffers from ineffective endosomal escape and low tolerance in serum, thereby limiting treatment success. Here the authors present an intracellular protein delivery system and demonstrate efficient deli
Externí odkaz:
https://doaj.org/article/e30762d64de74ddb83def6a74c94fb19
Autor:
Yaqiong Chen, Lin Weng, Wei Liu, Chenxi Deng, Jinxiu Xuan, Yuan Ma, Cao Li, Jinlu Jiang, Juan Chen, Shengxiang Ge
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
BackgroundCitrullination is a post-translational protein modification linked to the occurrence and development of a variety of diseases. The detection of citrullinated proteins is predominately based on antibody detection although currently available
Externí odkaz:
https://doaj.org/article/fb5284524f864b8391413e23b985b740