Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Kuanhong Xu"'
Autor:
Xiaopeng Tang, Mingqian Fang, Ruomei Cheng, Junkun Niu, Xiaoshan Huang, Kuanhong Xu, Gan Wang, Yang Sun, Zhiyi Liao, Zhiye Zhang, James Mwangi, Qiumin Lu, Aili Wang, Longbao Lv, Chao Liu, Yinglei Miao, Ren Lai
Publikováno v:
Research, Vol 7 (2024)
Cross-talks (e.g., host-driven iron withdrawal and microbial iron uptake between host gastrointestinal tract and commensal microbes) regulate immunotolerance and intestinal homeostasis. However, underlying mechanisms that regulate the cross-talks rem
Externí odkaz:
https://doaj.org/article/1e442ea016454a42946cd444abbd68b0
Publikováno v:
IEEE Access, Vol 8, Pp 139346-139355 (2020)
Aspect-based sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence. There are two main problems with existing methods: First, the methods simply take the average of the sentence and aspect word v
Externí odkaz:
https://doaj.org/article/643e916d53774c5d982e8c917830fd47
Publikováno v:
IEEE Access, Vol 7, Pp 131732-131748 (2019)
Though deep convolutional neural networks (CNNs) have made great breakthroughs in the field of vision-based gesture recognition, however it is challenging to deploy these high-performance networks to resource-constrained mobile platforms and acquire
Externí odkaz:
https://doaj.org/article/a073ec8a34f144ee8c6e6fdfc6a4fe9e
In modern times, the development of an intelligent system that can automatically detect and recognize poultry diseases is vital for efficient poultry farming and reducing human workloads. This paper presents a real-time detector that can analyze fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a645a6167caefcadaddf67b985fab273
https://doi.org/10.21203/rs.3.rs-2853582/v1
https://doi.org/10.21203/rs.3.rs-2853582/v1
Publikováno v:
Pattern Analysis and Applications. 24:1173-1192
Gesture recognition is a popular research field in computer vision and the application of deep neural networks greatly improves its performance. However, the general deep learning method has a large number of parameters preventing the practical appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95cd15597fee26a7caaaba69cbd06f4f
https://doi.org/10.1007/s10044-021-00965-1
https://doi.org/10.1007/s10044-021-00965-1
Publikováno v:
IEEE Access, Vol 8, Pp 139346-139355 (2020)
Aspect-based sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence. There are two main problems with existing methods: First, the methods simply take the average of the sentence and aspect word v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4a8c671f807766668bb5417199a1cd1
https://ieeexplore.ieee.org/document/9152016/
https://ieeexplore.ieee.org/document/9152016/
Publikováno v:
Multimedia Tools and Applications. 79:6727-6757
As a research hotspot in the field of human-machine interaction, a great progress of hand gesture recognition has been achieved with the development of deep learning of neural networks. However, in the deep learning based recognition methods, it is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f2c4d40559cfc8a4bf2d7817f686a25
https://doi.org/10.1007/s11042-019-08429-9
https://doi.org/10.1007/s11042-019-08429-9
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Recent research has shown Convolutional Neural Networks (CNNs) trained in a fully-supervised fashion achieve promising performance on extreme low-light image denoising task. However, a large amount of "noisy-clean" image pairs are required to train a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c24d6f2e26e3a7bed4486008dd51196
https://doi.org/10.1109/icme51207.2021.9428259
https://doi.org/10.1109/icme51207.2021.9428259
Publikováno v:
IEEE Access, Vol 7, Pp 131732-131748 (2019)
Though deep convolutional neural networks (CNNs) have made great breakthroughs in the field of vision-based gesture recognition, however it is challenging to deploy these high-performance networks to resource-constrained mobile platforms and acquire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06c11984bab73c33410aeeed3cb127ee
https://doi.org/10.1109/access.2019.2940997
https://doi.org/10.1109/access.2019.2940997
Autor:
Juan Zhang, Ruomei Cheng, Zhaoxia Tan, Ren Lai, Jing Wang, Zhiye Zhang, Hongwen Zhao, Peter M Kamau, Kuanhong Xu, Qiumin Lu, Guohong Deng, Xiaopeng Tang, Gan Wang, Zhiyi Liao, James Mwangi, Mingqian Fang
Hypercytokinemia is a critically fatal factor in COVID-19. However, underlying pathogenic mechanisms are unknown. Here we show that fibrinogen and leukotriene-A4 hydrolase (LTA4H), two of the most potent inflammatory contributors, are elevated by 67.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3610b430662f2e2313c2d74f345a7e12
https://doi.org/10.21203/rs.3.rs-33171/v1
https://doi.org/10.21203/rs.3.rs-33171/v1