Zobrazeno 1 - 10
of 1 102
pro vyhledávání: '"Luo Yin"'
Publikováno v:
Zhejiang dianli, Vol 42, Iss 9, Pp 61-68 (2023)
Pumped storage power plants are one of the significant means for regulating power systems， holding crucial importance for their secure， economical， and stable operation. The current research status of economic benefit analysis of pumped storage
Externí odkaz:
https://doaj.org/article/96750cc4426344d6924fbe61a5e645b5
Publikováno v:
IEEE Access, Vol 11, Pp 14841-14858 (2023)
This paper proposes an EEMD-Hurst-LSTM prediction method based on the ensemble learning framework, which is applied to the prediction of typical commodities in China’s commodity futures market. This method performs ensemble empirical mode decomposi
Externí odkaz:
https://doaj.org/article/a2c1933a802f439e8d5ac9b713dd3bbd
Publikováno v:
Green Processing and Synthesis, Vol 10, Iss 1, Pp 628-643 (2021)
To solve the environmental pollution caused by automobile exhaust in a tunnel, this study has developed a modified nano-TiO2 based on Fe3+ and Ce3+. The modified nano-TiO2 is prepared by the sol–gel method, and the modification adopts Fe3+ single-d
Externí odkaz:
https://doaj.org/article/b26f3595b3b743dbaa9998ec843d96bd
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation
Autor:
Luo, Yin-Jyun, Cheuk, Kin Wai, Choi, Woosung, Uesaka, Toshimitsu, Toyama, Keisuke, Saito, Koichi, Lai, Chieh-Hsin, Takida, Yuhta, Liao, Wei-Hsiang, Dixon, Simon, Mitsufuji, Yuki
Existing work on pitch and timbre disentanglement has been mostly focused on single-instrument music audio, excluding the cases where multiple instruments are presented. To fill the gap, we propose DisMix, a generative framework in which the pitch an
Externí odkaz:
http://arxiv.org/abs/2408.10807
In the fields of computer vision and natural language processing, multimodal chart question-answering, especially involving color, structure, and textless charts, poses significant challenges. Traditional methods, which typically involve either direc
Externí odkaz:
http://arxiv.org/abs/2404.01548
Autor:
Xiao, Xinglin, Wang, Yijie, Xu, Nan, Wang, Yuqi, Yang, Hanxuan, Wang, Minzheng, Luo, Yin, Wang, Lei, Mao, Wenji, Zeng, Daniel
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures. Recent work has proposed methods based on large language models to uniformly model different information extract
Externí odkaz:
http://arxiv.org/abs/2312.15548
Autor:
Luo, Yin, Kong, Qingchao, Xu, Nan, Cao, Jia, Hao, Bao, Qu, Baoyu, Chen, Bo, Zhu, Chao, Zhao, Chenyang, Zhang, Donglei, Feng, Fan, Zhao, Feifei, Sun, Hailong, Yang, Hanxuan, Pan, Haojun, Liu, Hongyu, Guo, Jianbin, Du, Jiangtao, Wang, Jingyi, Li, Junfeng, Sun, Lei, Liu, Liduo, Dong, Lifeng, Liu, Lili, Wang, Lin, Zhang, Liwen, Wang, Minzheng, Wang, Pin, Yu, Ping, Li, Qingxiao, Yan, Rui, Zou, Rui, Li, Ruiqun, Huang, Taiwen, Wang, Xiaodong, Wu, Xiaofei, Peng, Xin, Zhang, Xina, Fang, Xing, Xiao, Xinglin, Hao, Yanni, Dong, Yao, Wang, Yigang, Liu, Ying, Jiang, Yongyu, Wang, Yungan, Wang, Yuqi, Wang, Zhangsheng, Yu, Zhaoxin, Luo, Zhen, Mao, Wenji, Wang, Lei, Zeng, Dajun
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world tasks, and even have been regarded as a potential path to the artific
Externí odkaz:
http://arxiv.org/abs/2312.14862
Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory
The development of Large Language Models (LLMs) provides human-centered Artificial General Intelligence (AGI) with a glimmer of hope. Empathy serves as a key emotional attribute of humanity, playing an irreplaceable role in human-centered AGI. Despit
Externí odkaz:
http://arxiv.org/abs/2312.08702
Disentangled sequential autoencoders (DSAEs) represent a class of probabilistic graphical models that describes an observed sequence with dynamic latent variables and a static latent variable. The former encode information at a frame rate identical t
Externí odkaz:
http://arxiv.org/abs/2205.05871
Publikováno v:
In Journal of Molecular Biology 15 November 2024 436(22)