Zobrazeno 21 - 30
of 39 405
pro vyhledávání: '"Wang, Ping"'
This paper addresses the escalating challenge of redundant data transmission in networks. The surge in traffic has strained backhaul links and backbone networks, prompting the exploration of caching solutions at the edge router. Existing work primari
Externí odkaz:
http://arxiv.org/abs/2402.14576
Autor:
Bolourani, Siavash, Brenner, Max, Wang, Ping, McGinn, Thomas, Hirsch, Jamie S, Barnaby, Douglas, Zanos, Theodoros P
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 2, p e24246 (2021)
BackgroundPredicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk for
Externí odkaz:
https://doaj.org/article/cbab42a1001a434e9c79810353b7e829
Autor:
Xiao, Shuo, Zhang, Shuang-Nan, Xiong, Shao-Lin, Wang, Ping, Li, Xiu-Juan, Dong, Ai-Jun, Zhi, Qi-Jun, Li, Di
The minimum variation timescale (MVT) and spectral lag of hundreds of X-ray bursts (XRBs) from soft gamma-ray repeater (SGR) J1935+2154 were analyzed in detail for the first time in our recent work, which are important probes for studying the physica
Externí odkaz:
http://arxiv.org/abs/2401.05955
Test of {macroscopic realism} (MR) is key to understanding the foundation of quantum mechanics. Due to the existence of the {non-invasive measurability} loophole and other interpretation loopholes, however, such test remains an open question. Here we
Externí odkaz:
http://arxiv.org/abs/2401.05246
Autor:
Chen, Shi, Zhou, Lina, Song, Yunya, Xu, Qian, Wang, Ping, Wang, Kanlun, Ge, Yaorong, Janies, Daniel
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 1, p e24889 (2021)
BackgroundSocial media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare c
Externí odkaz:
https://doaj.org/article/09ee53c71af5420f8a3aa825762d6168
The family of planar graphs is a particularly important family and models many real-world networks. In this paper, we propose a principled framework based on the widely-known Apollonian packing process to generate new planar network, i.e., Type-II Ap
Externí odkaz:
http://arxiv.org/abs/2312.15248
Autor:
Wang, Ping, Song, Li-Ming, Xiong, Shao-Lin, Zhao, Xiao-Yun, Wang, Jin, Zhao, Shu-Min, Xiao, Shuo, Cai, Ce, Xie, Sheng-Lun, Xue, Wang-Chen, Wang, Chen-Wei, Wang, Yue, Zhang, Wen-Long
Understanding the nature of repeating FRBs is crucial to probe the physics of FRBs. In this work, we analyze the statistics of waiting time between bursts of three repeating FRBs from four data sets. We find a universally pronounced dependency of the
Externí odkaz:
http://arxiv.org/abs/2312.12978
Chain-of-thought (CoT) reasoning has exhibited impressive performance in language models for solving complex tasks and answering questions. However, many real-world questions require multi-modal information, such as text and images. Previous research
Externí odkaz:
http://arxiv.org/abs/2312.08762
Multi-modal aspect-based sentiment analysis (MABSA) has recently attracted increasing attention. The span-based extraction methods, such as FSUIE, demonstrate strong performance in sentiment analysis due to their joint modeling of input sequences and
Externí odkaz:
http://arxiv.org/abs/2312.08084
The first step to apply deep learning techniques for symbolic music understanding is to transform musical pieces (mainly in MIDI format) into sequences of predefined tokens like note pitch, note velocity, and chords. Subsequently, the sequences are f
Externí odkaz:
http://arxiv.org/abs/2312.08931