Zobrazeno 1 - 10
of 1 561
pro vyhledávání: '"Chen Zhibin"'
Autor:
Pham, William, Jarema, Alexander, Rim, Donggyu, Chen, Zhibin, Khlif, Mohamed S. H., Macefield, Vaughan G., Henderson, Luke A., Brodtmann, Amy
Background: Enlargement of perivascular spaces (PVS) is common in neurodegenerative disorders including cerebral small vessel disease, Alzheimer's disease, and Parkinson's disease. PVS enlargement may indicate impaired clearance pathways and there is
Externí odkaz:
http://arxiv.org/abs/2411.19564
Publikováno v:
Heliyon, Vol 8, Iss 12, Pp e12354- (2022)
Background and purpose: Endovascular recanalization for patients with symptomatic non-acute middle cerebral artery occlusion still remines challenging. Postoperative treatment is still controversial. This study aims to investigate the safety and effe
Externí odkaz:
https://doaj.org/article/c2bfd89260584359b2837d72cc7a3f9b
Autor:
Li, Tao, Bian, Zilin, Lei, Haozhe, Zuo, Fan, Yang, Ya-Ting, Zhu, Quanyan, Li, Zhenning, Chen, Zhibin, Ozbay, Kaan
Traditional mobility management strategies emphasize macro-level mobility oversight from traffic-sensing infrastructures, often overlooking safety risks that directly affect road users. To address this, we propose a Digital Twin-based Driver Risk-Awa
Externí odkaz:
http://arxiv.org/abs/2407.15025
Truck platooning, a linking technology of trucks on the highway, has gained enormous attention in recent years due to its benefits in energy and operation cost savings. However, most existing studies on truck platooning limit their focus on scenarios
Externí odkaz:
http://arxiv.org/abs/2404.13512
In scientific and engineering applications, solving partial differential equations (PDEs) across various parameters and domains normally relies on resource-intensive numerical methods. Neural operators based on deep learning offered a promising alter
Externí odkaz:
http://arxiv.org/abs/2402.12475
Congestion tollings have been widely developed and adopted as an effective tool to mitigate urban traffic congestion and enhance transportation system sustainability. Nevertheless, these tolling schemes are often tailored on a city-by-city or even ar
Externí odkaz:
http://arxiv.org/abs/2402.10834
Current large language models demonstrate deficiencies in understanding low-resource languages, particularly the minority languages in China. This limitation stems from the scarcity of available pre-training data. To address this accessibility challe
Externí odkaz:
http://arxiv.org/abs/2311.08348
Autonomous mobile robots (AMRs) play a crucial role in transportation and service tasks at hospitals, contributing to enhanced efficiency and meeting medical demands. This paper investigates the optimization problem of scheduling strategies for AMRs
Externí odkaz:
http://arxiv.org/abs/2307.16215
Recent advancements in image classification have demonstrated that contrastive learning (CL) can aid in further learning tasks by acquiring good feature representation from a limited number of data samples. In this paper, we applied CL to tumor trans
Externí odkaz:
http://arxiv.org/abs/2306.06276
Entailment Graphs (EGs) have been constructed based on extracted corpora as a strong and explainable form to indicate context-independent entailment relations in natural languages. However, EGs built by previous methods often suffer from the severe s
Externí odkaz:
http://arxiv.org/abs/2306.04170