Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Shi Meilin"'
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 4, Pp 93-99 (2024)
The high-performance CPU is taken as processors and Vxworks is taken as the design kernels for most flight control systems, which has the problems of high cost, large size and non-disclosure of kernel source code. A low-cost and reliable flight contr
Externí odkaz:
https://doaj.org/article/79073261f14945478f381b83b82555f8
Autor:
LIU Yawen, LU Jiahui, NI Chen, HUANG Jie, HUANG Tianhao, SHEN Nan, DONG Yulin, SHI Meilin, HU Junfeng
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 48, Iss 7, Pp 659-666 (2021)
Objective To explore whether inhibiting autophagy can enhance the sensitivity of photothermal treatment under mild photothermal conditions. Methods CQ@PLGA@PDA NPs were prepared by an improved double emulsification method and a PDA-based surface modi
Externí odkaz:
https://doaj.org/article/09737c1a3c204769b5501aa5e60ca0c9
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
Regional defaults describe the emerging phenomenon that text-to-image (T2I) foundation models used in generative AI are prone to over-proportionally depicting certain geographic regions to the exclusion of others. In this work, we introduce a scalabl
Externí odkaz:
http://arxiv.org/abs/2410.17255
Generative AI based on foundation models provides a first glimpse into the world represented by machines trained on vast amounts of multimodal data ingested by these models during training. If we consider the resulting models as knowledge bases in th
Externí odkaz:
http://arxiv.org/abs/2404.07612
Autor:
Liu, Zilong, Janowicz, Krzysztof, Currier, Kitty, Shi, Meilin, Rao, Jinmeng, Gao, Song, Cai, Ling, Graser, Anita
While the paths humans take play out in social as well as physical space, measures to describe and compare their trajectories are carried out in abstract, typically Euclidean, space. When these measures are applied to trajectories of actual individua
Externí odkaz:
http://arxiv.org/abs/2312.01151
Autor:
Yang, Jinfeng a, Man, Yunqi b, Qu, Danyang a, Cao, Yue c, Shi, Hui a, Guo, Xinyi a, Liu, Zhenbao b, ⁎, Shi, Meilin a, d, ⁎⁎
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Autor:
Wang, Fengqing a, Chen, Yanmei a, Zheng, Jia b, Yang, Can a, Li, Li a, Li, Rong a, Shi, Meilin a, Li, Zhongxuan a, ⁎
Publikováno v:
In Bioresource Technology February 2024 394
Autor:
Abbas, Nacira, Alghamdi, Kholoud, Alinam, Mortaza, Alloatti, Francesca, Amaral, Glenda, d'Amato, Claudia, Asprino, Luigi, Beno, Martin, Bensmann, Felix, Biswas, Russa, Cai, Ling, Capshaw, Riley, Carriero, Valentina Anita, Celino, Irene, Dadoun, Amine, De Giorgis, Stefano, Delva, Harm, Domingue, John, Dumontier, Michel, Emonet, Vincent, van Erp, Marieke, Arias, Paola Espinoza, Fallatah, Omaima, Ferrada, Sebastián, Ocaña, Marc Gallofré, Georgiou, Michalis, Gesese, Genet Asefa, Gillis-Webber, Frances, Giovannetti, Francesca, Buey, Marìa Granados, Harrando, Ismail, Heibi, Ivan, Horta, Vitor, Huber, Laurine, Igne, Federico, Jaradeh, Mohamad Yaser, Keshan, Neha, Koleva, Aneta, Koteich, Bilal, Kurniawan, Kabul, Liu, Mengya, Ma, Chuangtao, Maas, Lientje, Mansfield, Martin, Mariani, Fabio, Marzi, Eleonora, Mesbah, Sepideh, Mistry, Maheshkumar, Tirado, Alba Catalina Morales, Nguyen, Anna, Nguyen, Viet Bach, Oelen, Allard, Pasqual, Valentina, Paulheim, Heiko, Polleres, Axel, Porena, Margherita, Portisch, Jan, Presutti, Valentina, Pustu-Iren, Kader, Mendez, Ariam Rivas, Roshankish, Soheil, Rudolph, Sebastian, Sack, Harald, Sakor, Ahmad, Salas, Jaime, Schleider, Thomas, Shi, Meilin, Spinaci, Gianmarco, Sun, Chang, Tietz, Tabea, Dhouib, Molka Tounsi, Umbrico, Alessandro, Berg, Wouter van den, Xu, Weiqin
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR Knowledge Graph of Everything: We increasingl
Externí odkaz:
http://arxiv.org/abs/2012.11936
Autor:
Mai, Gengchen, Janowicz, Krzysztof, Cai, Ling, Zhu, Rui, Regalia, Blake, Yan, Bo, Shi, Meilin, Lao, Ni
Publikováno v:
Transactions in GIS, 2020
Learning knowledge graph (KG) embeddings is an emerging technique for a variety of downstream tasks such as summarization, link prediction, information retrieval, and question answering. However, most existing KG embedding models neglect space and, t
Externí odkaz:
http://arxiv.org/abs/2004.14171