Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guangwei Xiong"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:5296-5312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd156aa99684a1dfb57a1f9dba8db311
https://doi.org/10.1109/tits.2023.3239101
https://doi.org/10.1109/tits.2023.3239101
Publikováno v:
Assembly Automation. 42:490-505
Purpose The purpose of this paper deals with a capacitated multi-item dynamic lot-sizing problem with the simultaneous sequence-dependent setup scheduling of the parallel resource under complex uncertainty. Design/methodology/approach An improved cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dc3a47727dfabd2d020b136a192f762
https://doi.org/10.1108/aa-01-2022-0004
https://doi.org/10.1108/aa-01-2022-0004
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:5526-5538
Ride-hailing systems (RHSs) provide passengers with convenient and flexible mobility services, have played an important role in modern urban transportation. With the limited vehicles, RHSs wish to optimize the dispatch of vehicles to requests with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbccd4da88746b68c13ecf947ca8059e
https://doi.org/10.1109/tits.2021.3054893
https://doi.org/10.1109/tits.2021.3054893
Autor:
Nikolaos Papanikolopoulos, Paul Blake, Sean McSweeney, Jun Ma, Fengyi Li, Zhiyong Lin, Matthew Peterson, Fabian Isensee, Christopher J. Weight, Sarah H. Peterson, Jiang Tian, Arveen Kalapara, Nicholas Heller, Keenan Moore, Yaozong Gao, Heather Kaluzniak, Jack Rickman, Guangrui Mu, Yixin Wang, Ranveer Vasdev, Klaus H. Maier-Hein, Jiawei Yang, Joshua Dean, Guang Yao, Cheng Zhong, Zachary Rengel, Resha Tejpaul, Niranjan J. Sathianathen, Yao Zhang, Joel Rosenberg, Guangwei Xiong, Yang Nan, Bethany Stai, Shaneabbas Raza, Makinna Oestreich, Xiaoshuai Hou, Xie Chunmei, Zach Edgerton, Feng Hou, Miofei Han, Edward Walczak
Publikováno v:
Med Image Anal
There is a large body of literature linking anatomic and geometric characteristics of kidney tumors to perioperative and oncologic outcomes. Semantic segmentation of these tumors and their host kidneys is a promising tool for quantitatively character
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6af205cb08f5d55e46aa60d6ad07eae
https://europepmc.org/articles/PMC7734203/
https://europepmc.org/articles/PMC7734203/
Publikováno v:
Submissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19.
Automated segmentation of kidney and tumor from 3D CT scans is necessary for the diagnosis, monitoring, and treatment planning of the disease. In this paper, we describe a two-stage framework for kidney and tumor segmentation based on 3D fully convol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fbfae3cc96acb7ecd63f8e2ef7e57a1
https://doi.org/10.24926/548719.004
https://doi.org/10.24926/548719.004
Publikováno v:
Energy & Fuels. 23:1342-1346
Mesoporous ZnO (m-ZnO) was successfully synthesized by a supermolecule-templeting approach under hydrothermal conditions, in which triblock co-polymer Pluronic (F-127) was introduced as a template reagent. The corresponding Pd/m-ZnO catalyst was prep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7699d20198e6dea636dc0704988ae818
https://doi.org/10.1021/ef8008376
https://doi.org/10.1021/ef8008376