Zobrazeno 1 - 10
of 1 334
pro vyhledávání: '"HAN Jiawei"'
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 138-148 (2024)
ObjectiveThe dynamic prediction of carbon emission from cold chain distribution is an important basis for the accurate assessment of carbon emission and its green credit grade. Facing the fact that the carbon emission of vehicles is affected by multi
Externí odkaz:
https://doaj.org/article/bd4fe54071b14fb58baaca6bba747710
Publikováno v:
智慧农业, Vol 5, Iss 1, Pp 22-33 (2023)
The new generation of information technology has led to the rapid development of the intelligent level of the cold chain, and the precise control of the development level of the smart cold chain is the prerequisite foundation and guarantee to achieve
Externí odkaz:
https://doaj.org/article/3a713745dcf44c24b065165b856b9238
Publikováno v:
智慧农业, Vol 5, Iss 1, Pp 44-51 (2023)
In recent years, China's cold chain logistics industry has entered a stage of rapid development. At the same time, with the increase of greenhouse gas emissions, green and low-carbon transformation has become a new feature and direction of high-quali
Externí odkaz:
https://doaj.org/article/f34a0ba0f41e4d709a3e572ce43cfb53
Publikováno v:
中国工程科学, Vol 24, Iss 1, Pp 55-63 (2022)
Agricultural machinery and equipment is the material basis of modern agricultural development and an important symbol of agricultural mechanization. The new generation of information technology can drive the intelligent transformation and upgrading o
Externí odkaz:
https://doaj.org/article/ec06f72540df4ffbac920f9842996712
Publikováno v:
中国工程科学, Vol 23, Iss 4, Pp 30-36 (2021)
The lagging informatization and intellectualization of the agricultural product postharvest supply chain is the main factor that results in low circulation efficiency and serious quality loss. Improvement on the postharvest added values of agricultur
Externí odkaz:
https://doaj.org/article/1028abebc315498d99d88f0771daf334
Training and serving long-context large language models (LLMs) incurs substantial overhead. To address this, two critical steps are often required: a pretrained LLM typically undergoes a separate stage for context length extension by training on long
Externí odkaz:
http://arxiv.org/abs/2410.01485
Autor:
Zhong, Ming, Zhang, Aston, Wang, Xuewei, Hou, Rui, Xiong, Wenhan, Zhu, Chenguang, Chen, Zhengxing, Tan, Liang, Bi, Chloe, Lewis, Mike, Popuri, Sravya, Narang, Sharan, Kambadur, Melanie, Mahajan, Dhruv, Edunov, Sergey, Han, Jiawei, van der Maaten, Laurens
The development and evaluation of Large Language Models (LLMs) have largely focused on individual capabilities. However, this overlooks the intersection of multiple abilities across different types of expertise that are often required for real-world
Externí odkaz:
http://arxiv.org/abs/2409.19951
Accurate weather forecasting is critical for science and society. Yet, existing methods have not managed to simultaneously have the properties of high accuracy, low uncertainty, and high computational efficiency. On one hand, to quantify the uncertai
Externí odkaz:
http://arxiv.org/abs/2409.05975
Point cloud semantic segmentation can significantly enhance the perception of an intelligent agent. Nevertheless, the discriminative capability of the segmentation network is influenced by the quantity of samples available for different categories. T
Externí odkaz:
http://arxiv.org/abs/2408.10537
Autor:
Zhu, Kerui, Huang, Bo-Wei, Jin, Bowen, Jiao, Yizhu, Zhong, Ming, Chang, Kevin, Lin, Shou-De, Han, Jiawei
Inspired by the recent advancements of Large Language Models (LLMs) in NLP tasks, there's growing interest in applying LLMs to graph-related tasks. This study delves into the capabilities of instruction-following LLMs for engaging with real-world gra
Externí odkaz:
http://arxiv.org/abs/2408.05457