Zobrazeno 1 - 10
of 8 023
pro vyhledávání: '"WANG Qiao"'
As decentralized applications on permissionless blockchains are prevalent, more and more latency-sensitive usage scenarios emerged, where the lower the latency of sending and receiving messages, the better the chance of earning revenue. To reduce lat
Externí odkaz:
http://arxiv.org/abs/2412.08367
Autor:
Wang, Qiao, Hong, Hwanhee
Assessing treatment effect moderation is critical in biomedical research and many other fields, as it guides personalized intervention strategies to improve participant's outcomes. Individual participant-level data meta-analysis (IPD-MA) offers a rob
Externí odkaz:
http://arxiv.org/abs/2410.24194
Autor:
Wang, Qiao, Schmaltz, Chester Lee, Jackson-Thompson, Jeannette, Sun, Dongchu, He, Zhuoqiong, Cai, Zhongheng, Hong, Hwanhee
In public health, it is critical for policymakers to assess the relationship between the disease prevalence and associated risk factors or clinical characteristics, facilitating effective resources allocation. However, for diseases like female breast
Externí odkaz:
http://arxiv.org/abs/2410.23580
Autor:
Chetty, Swarna Bindu, Nag, Avishek, Al-Tahmeesschi, Ahmed, Wang, Qiao, Canberk, Berk, Marquez-Barja, Johann, Ahmadi, Hamed
6G, the next generation of mobile networks, is set to offer even higher data rates, ultra-reliability, and lower latency than 5G. New 6G services will increase the load and dynamism of the network. Network Function Virtualization (NFV) aids with this
Externí odkaz:
http://arxiv.org/abs/2410.06938
Open Radio Access Network (RAN) is a transformative paradigm that supports openness, interoperability, and intelligence, with the O-RAN architecture being the most recognized framework in academia and industry. In the context of Open RAN, the importa
Externí odkaz:
http://arxiv.org/abs/2409.15098
In this paper, we compare the performance of Kolmogorov-Arnold Networks (KAN) and Multi-Layer Perceptron (MLP) networks on irregular or noisy functions. We control the number of parameters and the size of the training samples to ensure a fair compari
Externí odkaz:
http://arxiv.org/abs/2408.07906
Autor:
Cao, Rui, Wang, Qiao
This research examines the use of Large Language Models (LLMs) in predicting time series, with a specific focus on the LLMTIME model. Despite the established effectiveness of LLMs in tasks such as text generation, language translation, and sentiment
Externí odkaz:
http://arxiv.org/abs/2408.04867
Autor:
Wang, Ruizhe, Hua, Chunliang, Shingys, Tomakayev, Niu, Mengyuan, Yang, Qingxin, Gao, Lizhong, Zheng, Yi, Yang, Junyan, Wang, Qiao
The photorealistic reconstruction and rendering of architectural scenes have extensive applications in industries such as film, games, and transportation. It also plays an important role in urban planning, architectural design, and the city's promoti
Externí odkaz:
http://arxiv.org/abs/2407.15435
It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively evaluate the performance when noise is added to the dataset. We propose
Externí odkaz:
http://arxiv.org/abs/2407.14882
Accurate modeling for the evolution of the Baryon Acoustic Oscillations (BAO) is essential for using it as a standard ruler to probe cosmology. We explore the non-linearity of the BAO in different environments using the density-split statistics and c
Externí odkaz:
http://arxiv.org/abs/2407.02210