Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zhenxin Wu"'
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
PurposeAn accurate assessment of the surgical margins of tongue squamous cell carcinoma (TSCC), especially the deep muscle tissue, can help completely remove the cancer cells and thus minimize the risk of recurrence. This study aimed to develop a cla
Externí odkaz:
https://doaj.org/article/10e6e660d2b2497fb316413353e11a36
Publikováno v:
IEEE Access, Vol 8, Pp 208753-208766 (2020)
Due to the complexity and similarity of plant leaves, it is very important to study an effective leaf-feature extraction method to improve the recognition rate of plant leaves. We study five multi-scale triangle representations: the triangle unsigned
Externí odkaz:
https://doaj.org/article/c4dcd7436f404be49920dc92e9026e29
Publikováno v:
Academic Journal of Science and Technology. 1:13-18
The sudden outbreak of COVID-19 in early 2020 has had varying degrees of impact on all walks of life. By analyzing the development status, development prospects and needs of the semiconductor industry in the Yangtze River Delta region, the article se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7342a902747cb9519f5f63574b8f1b34
https://doi.org/10.54097/ajst.v1i2.288
https://doi.org/10.54097/ajst.v1i2.288
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::802ea2b6d00ab15d01932c77cf6862e6
https://doi.org/10.1109/iecon49645.2022.9968854
https://doi.org/10.1109/iecon49645.2022.9968854
Publikováno v:
IEEE Access, Vol 8, Pp 208753-208766 (2020)
Due to the complexity and similarity of plant leaves, it is very important to study an effective leaf-feature extraction method to improve the recognition rate of plant leaves. We study five multi-scale triangle representations: the triangle unsigned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55baad1765b164c29df7cffe1b4ae14e
https://ieeexplore.ieee.org/document/9257481/
https://ieeexplore.ieee.org/document/9257481/
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031059322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c63b80924bcc840c7c270310816d03df
https://doi.org/10.1007/978-3-031-05933-9_24
https://doi.org/10.1007/978-3-031-05933-9_24
Publikováno v:
Journal of Alloys and Compounds. 918:165510
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfcdafb3c17b3989322bbc413520e6ff
https://doi.org/10.1016/j.jallcom.2022.165510
https://doi.org/10.1016/j.jallcom.2022.165510
Deep neural networks (DNN) can achieve high performance when applied to In-Distribution (ID) data which come from the same distribution as the training set. When presented with anomaly inputs not from the ID, the outputs of a DNN should be regarded a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f4f84af98bf8534169c58c91c0f8f7
Publikováno v:
CISP-BMEI
In order to comply with the rapid development of our data resources, this paper focuses on the collection, analysis and integration of our multi-source heterogeneous data resources based on the data-lake structure (short for the forward data flow), a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::314aec7d9cd2c47721a92ce8fe955219
https://doi.org/10.1109/cisp-bmei51763.2020.9263496
https://doi.org/10.1109/cisp-bmei51763.2020.9263496
Publikováno v:
Fuel. 295:120510
In the present work, computational fluid dynamic (CFD) models have been established to investigate a newly presented flue gas temperature deviation solution on the basis of ANSYS FLUENT16.0 considering a 700 °C tangentially fired pulverized-coal boi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13eb0869bbeb39bf62346ed4c2579d1e
https://doi.org/10.1016/j.fuel.2021.120510
https://doi.org/10.1016/j.fuel.2021.120510