Zobrazeno 1 - 10
of 3 193
pro vyhledávání: '"LIN, Dan"'
As the number of blockchain platforms continues to grow, the independence of these networks poses challenges for transferring assets and information across chains. Cross-chain bridge technology has emerged to address this issue, establishing communic
Externí odkaz:
http://arxiv.org/abs/2412.18129
The Electron-Ion Collider in China (EicC), a proposed high-luminosity facility with advanced charged particle and photon detection capabilities, provides unique opportunities to uncover new physics beyond the Standard Model. We analyze its sensitivit
Externí odkaz:
http://arxiv.org/abs/2412.06301
Cross-chain bridges are essential decentralized applications (DApps) to facilitate interoperability between different blockchain networks. Unlike regular DApps, the functionality of cross-chain bridges relies on the collaboration of information both
Externí odkaz:
http://arxiv.org/abs/2410.14493
Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection. Open world object detection (OWOD) is an emerging area of research that adapts this p
Externí odkaz:
http://arxiv.org/abs/2410.11301
The task of infectious disease contact tracing is crucial yet challenging, especially when meeting strict privacy requirements. Previous attempts in this area have had limitations in terms of applicable scenarios and efficiency. Our paper proposes a
Externí odkaz:
http://arxiv.org/abs/2409.12341
Autor:
Lin, Dan, Wu, Jiajing, Su, Yuxin, Zheng, Ziye, Nan, Yuhong, Zhang, Qinnan, Song, Bowen, Zheng, Zibin
Decentralized bridge applications are important software that connects various blockchains and facilitates cross-chain asset transfer in the decentralized finance (DeFi) ecosystem which currently operates in a multi-chain environment. Cross-chain tra
Externí odkaz:
http://arxiv.org/abs/2409.04937
Driver action recognition, aiming to accurately identify drivers' behaviours, is crucial for enhancing driver-vehicle interactions and ensuring driving safety. Unlike general action recognition, drivers' environments are often challenging, being gloo
Externí odkaz:
http://arxiv.org/abs/2408.01766
Driver action recognition has significantly advanced in enhancing driver-vehicle interactions and ensuring driving safety by integrating multiple modalities, such as infrared and depth. Nevertheless, compared to RGB modality only, it is always labori
Externí odkaz:
http://arxiv.org/abs/2406.11340
Autor:
Lin, Dan, Lee, Philip Hann Yung, Li, Yiming, Wang, Ruoyu, Yap, Kim-Hui, Li, Bingbing, Ngim, You Shing
Driver Action Recognition (DAR) is crucial in vehicle cabin monitoring systems. In real-world applications, it is common for vehicle cabins to be equipped with cameras featuring different modalities. However, multi-modality fusion strategies for the
Externí odkaz:
http://arxiv.org/abs/2401.14838
Publikováno v:
Teshugang, Vol 45, Iss 6, Pp 17-22 (2024)
In order to solve the problems of high blooming cost of the traditional process route for ultra-low carbon steel H1T， including preprocessing， converter， RH， bloom/ingot continuous casting， and blooming， and the frequent blockage of nozzl
Externí odkaz:
https://doaj.org/article/6e83b6628d1b40bea1acc9b63eca6ba0
