Zobrazeno 1 - 10
of 9 758
pro vyhledávání: '"Yang, Hai"'
Learning and understanding car-following (CF) behaviors are crucial for microscopic traffic simulation. Traditional CF models, though simple, often lack generalization capabilities, while many data-driven methods, despite their robustness, operate as
Externí odkaz:
http://arxiv.org/abs/2404.16023
Autor:
Yang, Hai, Yuan, Feng, Li, Hui, Mizuno, Yosuke, Guo, Fan, Lu, Rusen, Ho, Luis C., Lin, Xi, Zdziarski, Andrzej A., Wang, Jieshuang
The formation of jets in black hole accretion systems is a long-standing problem. It has been proposed that a jet can be formed by extracting the rotation energy of the black hole ("BZ-jet") or the accretion flow ("disk-jet"). While both models can p
Externí odkaz:
http://arxiv.org/abs/2403.15950
Towards practical applications of Electroencephalography (EEG) data, lightweight acquisition devices, equipped with a few electrodes, result in a predicament where analysis methods can only leverage EEG data with extremely low spatial resolution. Rec
Externí odkaz:
http://arxiv.org/abs/2312.10052
In this paper, we investigate covert communications in a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided rate-splitting multiple access (RSMA) system. Under the RSMA principles, the messages for the cove
Externí odkaz:
http://arxiv.org/abs/2312.01042
With the rise in demand for local deliveries and e-commerce, robotic deliveries are being considered as efficient and sustainable solutions. However, the deployment of such systems can be highly complex due to numerous factors involving stochastic de
Externí odkaz:
http://arxiv.org/abs/2310.17475
We study the electronic properties of a novel topological defect structure for graphene interspersed with C558-line defects along the Armchair boundary. This system has the topological property of being topologically three-periodic and the type-II Di
Externí odkaz:
http://arxiv.org/abs/2308.07549
Accurate trajectory prediction is crucial for the safe and efficient operation of autonomous vehicles. The growing popularity of deep learning has led to the development of numerous methods for trajectory prediction. While deterministic deep learning
Externí odkaz:
http://arxiv.org/abs/2308.06564