Zobrazeno 1 - 10
of 2 776
pro vyhledávání: '"WANG Zihan"'
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 68-71 (2024)
Objective Based on the virtual simulation fatigue test technology, fatigue life analysis and reliability evaluation of the bogie arm positioning node of a certain type of vehicle are carried out to improve the vehicle stability and guarantee the trai
Externí odkaz:
https://doaj.org/article/a2e94bee50dd45ee8a84994797ea7224
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 64-67 (2024)
Objective Based on the measured data of the train wheelsets on Shanghai Metro Line 17, the wheelset wear pattern is studied, and a wear model of wheel rim thickness and wheel diameter is established to improve the safety and maintenance efficiency of
Externí odkaz:
https://doaj.org/article/c151dc016ad94f489395031bb9d25c57
Publikováno v:
Redai dili, Vol 43, Iss 1, Pp 103-114 (2023)
Cavernous weathering is widely distributed in different climate zones worldwide. The dominant controlling factors and their formation processes have long been discussed in the geomorphological community; however, many controversies remain. In the dan
Externí odkaz:
https://doaj.org/article/311cd7dfb10e4e8491691df80f4f40f9
Autor:
Wang Zihan
Publikováno v:
BIO Web of Conferences, Vol 124, p 01020 (2024)
Adipose tissue has energy storage and metabolic functions, and its content is highly correlated with an individual’s obesity status. The relative proportions of white adipocytes, brown adipocytes, and beige adipocytes are also important in regulati
Externí odkaz:
https://doaj.org/article/3420cdad1531404ca21df3b99a29bed1
Retrieval-augmented generation (RAG) has gained wide attention as the key component to improve generative models with external knowledge augmentation from information retrieval. It has shown great prominence in enhancing the functionality and perform
Externí odkaz:
http://arxiv.org/abs/2410.20598
With the development of intelligent connected vehicle technology, human-machine shared control has gained popularity in vehicle following due to its effectiveness in driver assistance. However, traditional vehicle following systems struggle to mainta
Externí odkaz:
http://arxiv.org/abs/2410.18007
Autor:
Zhang, Ronghui, Yang, Shangyu, Lyu, Dakang, Wang, Zihan, Chen, Junzhou, Ren, Yilong, Gao, Bolin, Lv, Zhihan
Road ponding, a prevalent traffic hazard, poses a serious threat to road safety by causing vehicles to lose control and leading to accidents ranging from minor fender benders to severe collisions. Existing technologies struggle to accurately identify
Externí odkaz:
http://arxiv.org/abs/2410.16999
Autor:
Fu, Xiaohan, Li, Shuheng, Wang, Zihan, Liu, Yihao, Gupta, Rajesh K., Berg-Kirkpatrick, Taylor, Fernandes, Earlence
Large Language Model (LLM) Agents are an emerging computing paradigm that blends generative machine learning with tools such as code interpreters, web browsing, email, and more generally, external resources. These agent-based systems represent an eme
Externí odkaz:
http://arxiv.org/abs/2410.14923
Autor:
Wang, Zihan, Yang, Daniel W., Liu, Zerui, Yan, Evan, Sun, Heming, Ge, Ning, Hu, Miao, Wu, Wei
This study presents the first implementation of multilayer neural networks on a memristor/CMOS integrated system on chip (SoC) to simultaneously detect multiple diseases. To overcome limitations in medical data, generative AI techniques are used to e
Externí odkaz:
http://arxiv.org/abs/2410.14882
Autor:
Lyu, Yougang, Yan, Lingyong, Wang, Zihan, Yin, Dawei, Ren, Pengjie, de Rijke, Maarten, Ren, Zhaochun
As large language models (LLMs) are rapidly advancing and achieving near-human capabilities, aligning them with human values is becoming more urgent. In scenarios where LLMs outperform humans, we face a weak-to-strong alignment problem where we need
Externí odkaz:
http://arxiv.org/abs/2410.07672