Zobrazeno 1 - 10
of 2 063
pro vyhledávání: '"Zhou Wenjun"'
Large language models (LLMs) have significantly advanced natural language processing tasks, yet they are susceptible to generating inaccurate or unreliable responses, a phenomenon known as hallucination. In critical domains such as health and medicin
Externí odkaz:
http://arxiv.org/abs/2409.10011
TREB, a novel tabular imputation framework utilizing BERT, introduces a groundbreaking approach for handling missing values in tabular data. Unlike traditional methods that often overlook the specific demands of imputation, TREB leverages the robust
Externí odkaz:
http://arxiv.org/abs/2410.00022
We present a new approach for generating 3D house wireframes with semantic enrichment using an autoregressive model. Unlike conventional generative models that independently process vertices, edges, and faces, our approach employs a unified wire-base
Externí odkaz:
http://arxiv.org/abs/2407.12267
Process mining, a data-driven approach for analyzing, visualizing, and improving business processes using event logs, has emerged as a powerful technique in the field of business process management. Process forecasting is a sub-field of process minin
Externí odkaz:
http://arxiv.org/abs/2312.09741
Publikováno v:
Zhejiang dianli, Vol 43, Iss 11, Pp 74-89 (2024)
To expedite the restoration of high-penetration new energy power systems following outages， a partitioning method for parallel restoration is proposed. This method takes into account the characteristics of new energy output. Multi-time-step series
Externí odkaz:
https://doaj.org/article/1d26738d3eb44f37b7f437920d651017
Autor:
Zhu Xiuwen, Fu Zhigao, Gong Hede, Yakov Kuzyakov, Lu Zhiyun, Zhang Jing, Zhu Xuemei, Hong sisi, Song Qinghai, Zhang Yiping, Wen Handong, Zhou Wenjun
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112429- (2024)
Litter input is a critical link between the circulation and flows of energy and matter in forest ecosystems. Drought events impact litter inputs, affecting forest ecosystems’ nutrient and energy cycles. To investigate the response of litter product
Externí odkaz:
https://doaj.org/article/170af9e79fc14ce6ba5acb547afa0e3c
We propose NECA, a deep representation learning method for categorical data. Built upon the foundations of network embedding and deep unsupervised representation learning, NECA deeply embeds the intrinsic relationship among attribute values and expli
Externí odkaz:
http://arxiv.org/abs/2205.12752
Publikováno v:
In Fuel 15 November 2024 376
Autor:
Huang, Junjun, Wang, Jianlong, Ma, Teng, Wei, Hao, Zhang, Songsong, Wang, Guojun, Wang, Lin, Wang, Qiang, Zhou, Wenjun, Zhang, Zhijia
Publikováno v:
In Applied Acoustics 5 November 2024 225
Autor:
Li, Lu, Wang, Yongqiang, Zhou, Wenjun, Yu, Zhifei, Luan, Guodong, Chen, Lin, Liu, Tianzhong, Lu, Xuefeng
Publikováno v:
In Bioresource Technology November 2024 411