Zobrazeno 1 - 10
of 7 182
pro vyhledávání: '"WANG, Qiao"'
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
Autor:
Liang, Xuanyu, Al-Tahmeesschi, Ahmed, Wang, Qiao, Chetty, Swarna, Sun, Chenrui, Ahmadi, Hamed
The proliferation of 5G technology presents an unprecedented challenge in managing the energy consumption of densely deployed network infrastructures, particularly Base Stations (BSs), which account for the majority of power usage in mobile networks.
Externí odkaz:
http://arxiv.org/abs/2405.10116
Autor:
Pei, Wenxiang, Guo, Qi, Li, Ming, Wang, Qiao, Han, Jiaxin, Hu, Jia, Su, Tong, Gao, Liang, Wang, Jie, Luo, Yu, Wei, Chengliang
We investigate emission line galaxies across cosmic time by combining the modified L-Galaxies semi-analytical galaxy formation model with the JiuTian cosmological simulation. We improve the tidal disruption model of satellite galaxies in L-Galaxies t
Externí odkaz:
http://arxiv.org/abs/2404.00092
Publikováno v:
Mika H\"am\"al\"ainen, Emily \"Ohman, Flammie Pirinen, Khalid Alnajjar, So Miyagawa, Yuri Bizzoni, Niko Partanen, and Jack Rueter. 2023. Proc. of the Joint 3rd International Conference on NLP4DH and 8th IWCLUL. ACL, Tokyo, Japan, edition
A common way of assessing language learners' mastery of vocabulary is via multiple-choice cloze (i.e., fill-in-the-blank) questions. But the creation of test items can be laborious for individual teachers or in large-scale language programs. In this
Externí odkaz:
http://arxiv.org/abs/2403.02078
Autor:
Wang, Qiao, Yuan, Zheng
In this study, we evaluated the performance of the state-of-the-art sequence tagging grammar error detection and correction model (SeqTagger) using Japanese university students' writing samples. With an automatic annotation toolkit, ERRANT, we first
Externí odkaz:
http://arxiv.org/abs/2402.18101