Zobrazeno 1 - 10
of 304
pro vyhledávání: '"Wang Shengbo"'
Publikováno v:
Energy Exploration & Exploitation, Vol 42 (2024)
The Earth's infrared energy storage is substantial, and its large-scale utilization could effectively ameliorate the greenhouse effect on Earth. Several applications of utilizing Earth's infrared radiation for cooling and power generation are summari
Externí odkaz:
https://doaj.org/article/f1cd16009f8d41139c7a5b895411f4ce
Autor:
Wang Shengbo
Publikováno v:
SHS Web of Conferences, Vol 193, p 02017 (2024)
This article offers a comprehensive exploration of gender bias within the Chinese workplace, addressing its definition, manifestations, impacts, and proposed solutions. Gender bias presents itself through various channels, encompassing wage dispariti
Externí odkaz:
https://doaj.org/article/9d2818115364479693541220531f210a
Publikováno v:
Jixie qiangdu, Vol 44, Pp 1249-1254 (2022)
The regulation UN R127 is the must for the import country since 2018, In order to successfully pass the regulatory certification, so the pedestrian protection performance of the vehicle should be evaluated. In this paper, the pedestrian protection an
Externí odkaz:
https://doaj.org/article/3366399de94e4ca3bb0c737fd1467d05
Autor:
Tang, Chenyu, Zhang, Ruizhi, Gao, Shuo, Zhao, Zihe, Zhang, Zibo, Wang, Jiaqi, Li, Cong, Chen, Junliang, Dai, Yanning, Wang, Shengbo, Juan, Ruoyu, Li, Qiaoying, Xie, Ruimou, Chen, Xuhang, Zhou, Xinkai, Xia, Yunjia, Chen, Jianan, Lu, Fanghao, Li, Xin, Wang, Ninglli, Smielewski, Peter, Pan, Yu, Zhao, Hubin, Occhipinti, Luigi G.
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Additionally, the absence of comprehensive solutions addressing diverse rehabilitation needs
Externí odkaz:
http://arxiv.org/abs/2411.19000
Autor:
Tang, Chenyu, Gao, Shuo, Li, Cong, Yi, Wentian, Jin, Yuxuan, Zhai, Xiaoxue, Lei, Sixuan, Meng, Hongbei, Zhang, Zibo, Xu, Muzi, Wang, Shengbo, Chen, Xuhang, Wang, Chenxi, Yang, Hongyun, Wang, Ningli, Wang, Wenyu, Cao, Jin, Feng, Xiaodong, Smielewski, Peter, Pan, Yu, Song, Wenhui, Birchall, Martin, Occhipinti, Luigi G.
Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments. However, seamless, coherent speech remains elusive, and clinical efficacy is still unproven. Here, we present an AI-driven inte
Externí odkaz:
http://arxiv.org/abs/2411.18266
In this paper we investigate the tractability of robust Markov Decision Processes (RMDPs) under various structural assumptions on the uncertainty set. Surprisingly, we show that in all generality (i.e. without any assumption on the instantaneous rewa
Externí odkaz:
http://arxiv.org/abs/2411.08435
Autor:
Wang, Shengbo, Li, Xuemeng, Ding, Jialin, Ma, Weihao, Wang, Ying, Occhipinti, Luigi, Nathan, Arokia, Gao, Shuo
Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity. In this work, we introduce a high-order memristive associative learning framewor
Externí odkaz:
http://arxiv.org/abs/2410.16734
Publikováno v:
Jixie qiangdu, Vol 43, Pp 1479-1484 (2021)
Based on the generation mechanism and transmission path of the roar, this paper expounds the corresponding control strategies for the roar of different paths. Aiming at the roaring noise in the accelerating car of a passenger car, the corresponding t
Externí odkaz:
https://doaj.org/article/968a6f7136b943c3979e3d02765b9d63
Optical flow is crucial for robotic visual perception, yet current methods primarily operate in a 2D format, capturing movement velocities only in horizontal and vertical dimensions. This limitation results in incomplete motion cues, such as missing
Externí odkaz:
http://arxiv.org/abs/2409.15345
Autor:
Wang, Shengbo, Pei, Jingfang, Li, Cong, Li, Xuemeng, Tao, Li, Nathan, Arokia, Hu, Guohua, Gao, Shuo
Neuromorphic devices, with their distinct advantages in energy efficiency and parallel processing, are pivotal in advancing artificial intelligence applications. Among these devices, memristive transistors have attracted significant attention due to
Externí odkaz:
http://arxiv.org/abs/2408.15140