Zobrazeno 1 - 10
of 1 047
pro vyhledávání: '"TIAN Yuanyuan"'
Autor:
TIAN Yuanyuan, PENG Lei
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 288-292 (2024)
Objective The flexible adjustment of train marshalling is an important measure and development trend for urban rail transit train traction energy saving. In order to achieve precise delivery of transport capacity, reduce operational energy consumptio
Externí odkaz:
https://doaj.org/article/9c0739c60b5f47a6b2cf10e3913bddc3
Autor:
CHEN Jin, SU Xiumin, YANG Jing, CAO Yanwei, TIAN Yuanyuan, FENG Chengqian, ZHAO Hongyang, LU Xing’an, CUI Shenghui, YANG Baowei
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 2, Pp 203-210 (2022)
ObjectiveTo develop plasmid DNA reference materials that can be used for polymyxin antibiotic resistance encoding genes rapid detection.MethodsThe reference sequence of mcr1， mcr3 and mcr5 were retrieved from the National Center for Biotechno
Externí odkaz:
https://doaj.org/article/daab25db4ef44233b741f598d79ca73b
Autor:
Zhang Qiuyun, Yang Binbin, Tian Yuanyuan, Yang Xianju, Yu Rongfei, Wang Jialu, Deng Taoli, Zhang Yutao
Publikováno v:
Green Processing and Synthesis, Vol 11, Iss 1, Pp 184-194 (2022)
In the present study, a facile solvothermal method was used for the synthesis of silicotungstic acid (HSiW) immobilized on Ce-based metal organic framework (Ce-BDC) and embedded in Zr-based metal-organic framework (UiO-66(Zr)) composite catalyst, nam
Externí odkaz:
https://doaj.org/article/e36a02e0d5f9459ba8cc0ea771d1e7be
Autor:
Alotaibi, Rana, Tian, Yuanyuan, Grafberger, Stefan, Camacho-Rodríguez, Jesús, Bruno, Nicolas, Kroth, Brian, Matusevych, Sergiy, Agrawal, Ashvin, Behera, Mahesh, Gosalia, Ashit, Galindo-Legaria, Cesar, Joshi, Milind, Potocnik, Milan, Sezgin, Beysim, Li, Xiaoyu, Curino, Carlo
Customer demand, regulatory pressure, and engineering efficiency are the driving forces behind the industry-wide trend of moving from siloed engines and services that are optimized in isolation to highly integrated solutions. This is confirmed by the
Externí odkaz:
http://arxiv.org/abs/2411.13704
Autor:
Tian, Yuanyuan, Li, Wenwen, Hu, Lei, Chen, Xiao, Brook, Michael, Brubaker, Michael, Zhang, Fan, Liljedahl, Anna K.
Retrieval and recommendation are two essential tasks in modern search tools. This paper introduces a novel retrieval-reranking framework leveraging Large Language Models (LLMs) to enhance the spatiotemporal and semantic associated mining and recommen
Externí odkaz:
http://arxiv.org/abs/2411.12880
Autor:
Shimizu, Cogan, Stephe, Shirly, Barua, Adrita, Cai, Ling, Christou, Antrea, Currier, Kitty, Dalal, Abhilekha, Fisher, Colby K., Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Mahdavinejad, Mohammad Saeid, Mai, Gengchen, Rehberger, Dean, Schildhauer, Mark, Shi, Meilin, Norouzi, Sanaz Saki, Tian, Yuanyuan, Wang, Sizhe, Wang, Zhangyu, Zalewski, Joseph, Zhou, Lu, Zhu, Rui
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, cr
Externí odkaz:
http://arxiv.org/abs/2410.13948
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Huang, Hanxian, Siddiqui, Tarique, Alotaibi, Rana, Curino, Carlo, Leeka, Jyoti, Jindal, Alekh, Zhao, Jishen, Camacho-Rodriguez, Jesus, Tian, Yuanyuan
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries ineffective for optimizing future workloads. To address this challeng
Externí odkaz:
http://arxiv.org/abs/2401.03723
Publikováno v:
Proceedings of the ACM on Management of Data (2024) Volume 1 Issue 4
Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number of analytic jobs processing huge volumes of data on a daily basis, and
Externí odkaz:
http://arxiv.org/abs/2401.01280
Publikováno v:
E3S Web of Conferences, Vol 272, p 02022 (2021)
Through the simulation analysis of the settlement and deformation law of the surface buildings caused by the construction of the biased tunnel, the following points are obtained: (1) The Peak formula is revised, and the influence range of the biased
Externí odkaz:
https://doaj.org/article/9e15456b87dc41b9ba873663f434357f