Zobrazeno 1 - 10
of 2 120
pro vyhledávání: '"Mao, Song"'
Autor:
Xia, Renqiu, Mao, Song, Yan, Xiangchao, Zhou, Hongbin, Zhang, Bo, Peng, Haoyang, Pi, Jiahao, Fu, Daocheng, Wu, Wenjie, Ye, Hancheng, Feng, Shiyang, Wang, Bin, Xu, Chao, He, Conghui, Cai, Pinlong, Dou, Min, Shi, Botian, Zhou, Sheng, Wang, Yongwei, Yan, Junchi, Wu, Fei, Qiao, Yu
Scientific documents record research findings and valuable human knowledge, comprising a vast corpus of high-quality data. Leveraging multi-modality data extracted from these documents and assessing large models' abilities to handle scientific docume
Externí odkaz:
http://arxiv.org/abs/2406.11633
Autor:
Fu, Daocheng, Lei, Wenjie, Wen, Licheng, Cai, Pinlong, Mao, Song, Dou, Min, Shi, Botian, Qiao, Yu
The emergence of Multimodal Large Language Models ((M)LLMs) has ushered in new avenues in artificial intelligence, particularly for autonomous driving by offering enhanced understanding and reasoning capabilities. This paper introduces LimSim++, an e
Externí odkaz:
http://arxiv.org/abs/2402.01246
Digital twins for intelligent transportation systems are currently attracting great interests, in which generating realistic, diverse, and human-like traffic flow in simulations is a formidable challenge. Current approaches often hinge on predefined
Externí odkaz:
http://arxiv.org/abs/2308.12797
With the growing popularity of digital twin and autonomous driving in transportation, the demand for simulation systems capable of generating high-fidelity and reliable scenarios is increasing. Existing simulation systems suffer from a lack of suppor
Externí odkaz:
http://arxiv.org/abs/2307.06648
With the commercial application of automated vehicles (AVs), the sharing of roads between AVs and human-driven vehicles (HVs) becomes a common occurrence in the future. While research has focused on improving the safety and reliability of autonomous
Externí odkaz:
http://arxiv.org/abs/2306.17456
With the development of autonomous driving, it is becoming increasingly common for autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads. Existing single-vehicle planning algorithms on board struggle to handle sophisti
Externí odkaz:
http://arxiv.org/abs/2302.06803
Autor:
Kember, Pamela
Publikováno v:
Benezit Dictionary of Asian Artists, 1 ed., 2013.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780199923014.001.0001/acref-9780199923014-e-2402
Autor:
Chao Gu, Mao-Song Pei, Zhi-Hua Guo, Lei Wu, Kai-Jie Qi, Xue-Ping Wang, Hong Liu, Zhongchi Liu, Zhaobo Lang, Shaoling Zhang
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-29 (2024)
Abstract Background Extensive research has been conducted on fruit development in crops, but the metabolic regulatory networks underlying perennial fruit trees remain poorly understood. To address this knowledge gap, we conduct a comprehensive analys
Externí odkaz:
https://doaj.org/article/eada635ba857421295bd6f1bcd198543
Publikováno v:
In Plant Physiology and Biochemistry October 2024 215
Publikováno v:
In Hydrometallurgy January 2025 231