Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Yuming Qiu"'
Autor:
Yuming Qiu, Mo Zhang, Zhizhen Lai, Renjun Zhang, Hongtao Tian, Shuai Liu, Dan Li, Jiang Zhou, Zhili Li
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2023)
Introduction: The metabolic balance of amines is closely related to human health. It remains a great challenge to analyze amines with high-throughput and high-coverage.Methods: Polythioester-functionalized magnetic nanoprobes (PMPs) have been prepare
Externí odkaz:
https://doaj.org/article/e64d63f3635c434bb26b2ef6944b41e2
Autor:
Xiao Liu, Jin Ge, Chen Chen, Yang Shen, Jinyan Xie, Xin Zhu, Menglu Liu, Jinzhu Hu, Leifeng Chen, Linjuan Guo, Qiongqiong Zhou, Xia Yan, Yuming Qiu, Rong Wan, Ali J. Marian, Kui Hong
Publikováno v:
Cell Death and Disease, Vol 12, Iss 1, Pp 1-12 (2021)
Abstract The human leukocyte antigen F-associated transcript 10 (FAT10) is a member of the small ubiquitin-like protein family that binds to its target proteins and subjects them to degradation by the ubiquitin–proteasome system (UPS). In the heart
Externí odkaz:
https://doaj.org/article/c69d55a5aae346a298743a6873b896d5
Autor:
Ting Li, Peng Luo, Qinli Xiong, Hao Yang, Xiaodong Gu, Yuming Qiu, Bo Lin, Yang Liu, Changhong Lai
Publikováno v:
Ecology and Evolution, Vol 11, Iss 2, Pp 931-941 (2021)
Abstract Many studies reported biotic change along a continental warming gradient. However, the temporal and spatial change of tree diversity and their sensitivity to climate warming might differ from region to region. Understanding of the variation
Externí odkaz:
https://doaj.org/article/f3f2c1a4f08a40d9a468ce114d57659f
Publikováno v:
IEEE Access, Vol 8, Pp 144246-144258 (2020)
This article presents a method to infer skin lesion segmentation based on multiple deep convolutional neural network (DCNN) models by employing fully connected conditional random fields (CRFs). This method is on the strength of the synergism between
Externí odkaz:
https://doaj.org/article/9750db5062c84ac286ca254d06d9a667
Publikováno v:
Sensors, Vol 23, Iss 2, p 633 (2023)
Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We pres
Externí odkaz:
https://doaj.org/article/e768232db81a4bb99ab5ca84edb2dd61
Autor:
Ting Li, Yang Liu, Qi Wang, Changhong Lai, Yuming Qiu, David T Tissue, Jiangtao Xiao, Xuhua Li, Li Peng
Publikováno v:
Environmental Research Letters, Vol 17, Iss 12, p 124037 (2022)
Mountain forest ecosystems play an important role in global carbon sequestration and may respond differently to variations in climate. The timely and accurate assessment of the factors (abiotic and biotic) that affect forest types will improve our un
Externí odkaz:
https://doaj.org/article/b4c3c7f939f84dc3822d42f8ce4bac3f
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6704 (2021)
Despite being heavily used in the training of deep neural networks (DNNs), multipliers are resource-intensive and insufficient in many different scenarios. Previous discoveries have revealed the superiority when activation functions, such as the sigm
Externí odkaz:
https://doaj.org/article/38e9df67afe34daa98b5788d925549ef
Publikováno v:
Land Degradation & Development. 33:3641-3651
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031262920
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3fe85318783e9ef8f514da7a0f3bd9
https://doi.org/10.1007/978-3-031-26293-7_33
https://doi.org/10.1007/978-3-031-26293-7_33