Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Shaojie Bai"'
Autor:
Shaojie Bai, Abudukeyimu Abulizi, Yusuyunjiang Mamitimin, Junxia Wang, Le Yuan, Xiaofen Zhang, Tingting Yu, Adila Akbar, Fang Shen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The non-coordination between the socio-economic systems and ecosystems of a region is a crucial obstacle to sustainable development. To reveal the relationships between complex urban systems and achieve the goal of sustainable and coordinate
Externí odkaz:
https://doaj.org/article/d99e357eeb9148d4a2914fc6b3141f8b
Autor:
Junxia Wang, Abudukeyimu Abulizi, Yusuyunjiang Mamitimin, Kerim Mamat, Le Yuan, Shaojie Bai, Tingting Yu, Adila Akbar, Xiaofen Zhang, Fang Shen
Publikováno v:
Land, Vol 13, Iss 7, p 1005 (2024)
In recent years, increasing urbanization has profoundly impacted the quality of regional habitats, presenting a severe risk to the ability of a region to develop in a high-quality manner. Therefore, the scientific assessment of the features of habita
Externí odkaz:
https://doaj.org/article/2b18ab6a68244089b536038a720264f5
Publikováno v:
Canadian Journal of Remote Sensing, Vol 49, Iss 1 (2023)
Polarimetric synthetic aperture radar (PolSAR) images are classified mainly according to the backscattering information of ground objects. For regions with complex backscattering information, misclassification is easy to occur, which leads to challen
Externí odkaz:
https://doaj.org/article/a52209779f234e9e896ed847f0430460
Autor:
Lars A Bratholm, Will Gerrard, Brandon Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Sanghoon Kim, Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P Butts, David R Glowacki
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0253612 (2021)
The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions. For physical scientists wishing to apply ML strategies to a particular domain, it can be difficult to assess in adva
Externí odkaz:
https://doaj.org/article/7bd641a416ff403b90f3c0a0e9726773
Autor:
shaojie bai, jiangpeng song
Publikováno v:
9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ed228c248f76bc6c3326c4948e537a
https://doi.org/10.1117/12.2666102
https://doi.org/10.1117/12.2666102
Publikováno v:
Optical Tomography and Spectroscopy of Tissue XV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3ab883b36f3a759d71e680802798c2
https://doi.org/10.1117/12.2650749
https://doi.org/10.1117/12.2650749
Many recent state-of-the-art (SOTA) optical flow models use finite-step recurrent update operations to emulate traditional algorithms by encouraging iterative refinements toward a stable flow estimation. However, these RNNs impose large computation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11876dee09b547289834d24c5dad8785
Publikováno v:
2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59fc0ed997b69048911593ba676f1f43
https://doi.org/10.1109/icpads53394.2021.00099
https://doi.org/10.1109/icpads53394.2021.00099
Publikováno v:
CCS
For protecting users' private data, local differential privacy (LDP) has been leveraged to provide the privacy-preserving range query, thus supporting further statistical analysis. However, existing LDP-based range query approaches are limited by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48626ef1328363660a7e620e2fd4c1da
https://doi.org/10.1145/3460120.3485668
https://doi.org/10.1145/3460120.3485668
Publikováno v:
In Ceramics International 1 October 2021 47(19):28021-28031