Zobrazeno 1 - 10
of 1 064
pro vyhledávání: '"LIU Yichen"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 8, Pp 66-73 (2024)
Under the “dual carbon” strategy aimed at further reducing carbon emissions and improving wind and PV power consumption， this study proposes a low-carbon optimal scheduling strategy for hybrid wind/PV/storage microgrids considering green electr
Externí odkaz:
https://doaj.org/article/c4241a4c93c8481dae85792d13b33355
Publikováno v:
IEEE Access, Vol 11, Pp 95307-95314 (2023)
This paper presents a control algorithm for a micro-electro-mechanical system (MEMS) fast steering mirror (FSM), whose performance is poor in open loop control mode. Based on the characterization and parameter identification of MEMS FSM, an improved
Externí odkaz:
https://doaj.org/article/2bf858b7da2a4c28bfd8a32ff49ddd7c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 2367-2376 (2023)
With the development of big data and blockchain technology, a large amount of multi-source heterogeneous data has been accumulated in the agricultural field by before, during and after production. Agricultural information service systems are often ta
Externí odkaz:
https://doaj.org/article/4f875dfbf2534991bc6288a74e356dc9
Autor:
Gong, Letian, Lin, Yan, Zhang, Xinyue, Lu, Yiwen, Han, Xuedi, Liu, Yichen, Guo, Shengnan, Lin, Youfang, Wan, Huaiyu
Location-based services (LBS) have accumulated extensive human mobility data on diverse behaviors through check-in sequences. These sequences offer valuable insights into users' intentions and preferences. Yet, existing models analyzing check-in sequ
Externí odkaz:
http://arxiv.org/abs/2411.00823
Autor:
Qian, Cheng, Shi, Xianglong, Yao, Shanshan, Liu, Yichen, Zhou, Fengming, Zhang, Zishu, Akram, Junaid, Braytee, Ali, Anaissi, Ali
We present a refined approach to biomedical question-answering (QA) services by integrating large language models (LLMs) with Multi-BERT configurations. By enhancing the ability to process and prioritize vast amounts of complex biomedical data, this
Externí odkaz:
http://arxiv.org/abs/2410.12856
Autor:
Gu, Xinyang, Wang, Yen-Jen, Zhu, Xiang, Shi, Chengming, Guo, Yanjiang, Liu, Yichen, Chen, Jianyu
Humanoid robots, with their human-like skeletal structure, are especially suited for tasks in human-centric environments. However, this structure is accompanied by additional challenges in locomotion controller design, especially in complex real-worl
Externí odkaz:
http://arxiv.org/abs/2408.14472
Autor:
Lin, Yan, Liu, Yichen, Zhou, Zeyu, Wen, Haomin, Zheng, Erwen, Guo, Shengnan, Lin, Youfang, Wan, Huaiyu
Vehicle trajectories provide crucial movement information for various real-world applications. To better utilize vehicle trajectories, it is essential to develop a trajectory learning approach that can effectively and efficiently extract rich semanti
Externí odkaz:
http://arxiv.org/abs/2408.04916
This paper introduces Multi-Garment Customized Model Generation, a unified framework based on Latent Diffusion Models (LDMs) aimed at addressing the unexplored task of synthesizing images with free combinations of multiple pieces of clothing. The met
Externí odkaz:
http://arxiv.org/abs/2408.05206
Machine learning and deep learning (ML/DL) have been extensively applied in malware detection, and some existing methods demonstrate robust performance. However, several issues persist in the field of malware detection: (1) Existing work often overem
Externí odkaz:
http://arxiv.org/abs/2408.02066
Spacetime inversion symmetry can generate intriguing types of spinless excitations in crystalline materials. Here, we propose a topological phase protected by spacetime inversion symmetry - the crossed real nodal line (RNL) in the phonon spectrum of
Externí odkaz:
http://arxiv.org/abs/2407.09079