Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yunzhuo Liu"'
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13226 (2023)
Artificial Intelligence has been widely applied in intelligent transportation systems. In this work, Swin-APT, a deep learning-based approach for semantic segmentation and object detection in intelligent transportation systems is presented. Swin-APT
Externí odkaz:
https://doaj.org/article/3e4add7f0f024a1b817e8f7b36cada4b
Publikováno v:
Drones, Vol 7, Iss 9, p 588 (2023)
UAVs flying in complex low-altitude environments often require real-time sensing to avoid environmental obstacles. In previous approaches, UAVs have usually carried out motion planning based on primitive navigation maps such as point clouds and raste
Externí odkaz:
https://doaj.org/article/5204747de35944888c1361e308272f19
Publikováno v:
Sensors, Vol 23, Iss 8, p 3927 (2023)
Mobile payment services have been widely applied in our daily life, where users can conduct transactions in a convenient way. However, critical privacy concerns have arisen. Specifically, a risk of participating in a transaction is the disclosure of
Externí odkaz:
https://doaj.org/article/6f6d136f51954eceb39e6177052cd345
Publikováno v:
Symmetry, Vol 15, Iss 4, p 837 (2023)
Meaningful representation of large-scale non-Euclidean structured data, especially in complex domains like network security and IoT system, is one of the critical problems of contemporary machine learning and deep learning. Many successful cases of g
Externí odkaz:
https://doaj.org/article/b876213946f9418b9150024c7ed673d9
Autor:
Yiwei Wang, Yunzhuo Liu, Fengjun Ji, Deping Li, Jinru Huang, Hainan Sun, Shuang Wen, Qing Sun, Jingyu Lu, Lijie Ci
Publikováno v:
Crystals, Vol 12, Iss 8, p 1140 (2022)
Potassium-ion battery, a key analog of lithium-ion battery, is attracting enormous attentions owing to the abundant reserves and low cost of potassium salts, and the electrochemically reversible insertion/extraction of the K-ion within the commercial
Externí odkaz:
https://doaj.org/article/124e08a58f4b424da1bd5d5d9d39fe3b
Autor:
Peirui Cao, Shizhen Zhao, Dai Zhang, Zhuotao Liu, Mingwei Xu, Min Yee Teh, Yunzhuo Liu, Xinbing Wang, Chenghu Zhou
Publikováno v:
IEEE/ACM Transactions on Networking. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d026d603db4f565045fe4dd0c9e283f7
https://doi.org/10.1109/tnet.2023.3265276
https://doi.org/10.1109/tnet.2023.3265276
Autor:
Lei, Zhao, Jun-Liang, Zhao, Zhihui, Bai, Jiahua, Du, Yanchao, Shi, Yi, Wang, Yuyao, Wang, Yunzhuo, Liu, Zhe, Yu, Mu-Yang, Li
Publikováno v:
International Journal of Biological Macromolecules. 201:557-568
Taraxacum mongolicum polysaccharide (TMP) exhibits anti-inflammatory and antioxidant activity, making it an attractive candidate for aquatic-product-safety applications. Here, this study was aimed to investigate the effects of dietary TMP on the grow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cdbadfbc2de21e7a8310170234d00b3
https://doi.org/10.1016/j.ijbiomac.2021.12.117
https://doi.org/10.1016/j.ijbiomac.2021.12.117
Autor:
Deping Li, Fengjun Ji, Tianqi Liu, Xiaoyu Zhao, Qing Sun, Yunzhuo Liu, Yiwei Wang, Jiaheng Zhang, Lijie Ci
Publikováno v:
Journal of Materials Chemistry A. 10:15026-15035
A “trash to treasure” concept is proposed and employed in transforming biowaste into batteries, which agrees well with the global carbon neutrality target and will boost the interdisciplinary cooperation between a bio lab and a material lab.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17ad3136df99a9e094098b9a660752cf
https://doi.org/10.1039/d2ta02007f
https://doi.org/10.1039/d2ta02007f
Publikováno v:
Bioinspirationbiomimetics. 18(1)
In the underwater environment, conventional hyperspectral imagers for imaging target scenes usually require stable carrying platforms for completing push sweep or complex optical components for beam splitting in long gaze imaging, which limits the sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d6fabf4c5bc386284627d8bea7f3726
https://pubmed.ncbi.nlm.nih.gov/36541456
https://pubmed.ncbi.nlm.nih.gov/36541456
Training deep learning (DL) models in the cloud has become a norm. With the emergence of serverless computing and its benefits of true pay-as-you-go pricing and scalability, systems researchers have recently started to provide support for serverless-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::215969f8395d52080d9b1ad5b1f4dfe8
http://arxiv.org/abs/2204.13561
http://arxiv.org/abs/2204.13561
