Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Qixing Luo"'
Autor:
Shengyang Zhou, Xiangbin Lin, Yuhao Hu, Lin Fu, Qixing Luo, Linsen Yang, Shuhua Hou, Xiang-Yu Kong, Lei Jiang, Liping Wen
Publikováno v:
ACS Materials Letters. 4:1422-1429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1c5b95849b2d33e32ad476a91ebcb6
https://doi.org/10.1021/acsmaterialslett.2c00276
https://doi.org/10.1021/acsmaterialslett.2c00276
Autor:
Qixing Luo, Pei Liu, Lin Fu, Yuhao Hu, Linsen Yang, Weiwei Wu, Xiang-Yu Kong, Lei Jiang, Liping Wen
Publikováno v:
ACS Applied Materials & Interfaces. 14:13223-13230
As a promising clean energy source, membrane-based osmotic energy harvesting has been widely investigated and developed through optimizing the membrane structure in recent years. For chasing higher energy conversion performance, various external stim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06f839becd608d117fde14aa372cc606
https://doi.org/10.1021/acsami.1c22707
https://doi.org/10.1021/acsami.1c22707
Publikováno v:
Smart Materials and Structures. 32:015011
This study proposes a novel piezoelectric friction damper (PFD). Experiments and numerical simulations are carried out to investigate the mechanical model of the PFD, and the effects of loading speed, displacement amplitude, voltage, friction plate m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a32330f466af8355cab48eaef25bda0
https://doi.org/10.1088/1361-665x/aca6bd
https://doi.org/10.1088/1361-665x/aca6bd
Publikováno v:
Ocean Engineering. 254:111344
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc3abf1ecb05c6edf47d1ccf5a99350
https://doi.org/10.1016/j.oceaneng.2022.111344
https://doi.org/10.1016/j.oceaneng.2022.111344
Autor:
Zhenhuan Zhao, Chunyan Wu, Pinyi Yang, Jinbo Zhao, Weimiao Li, Xiaofei Li, Changquan Shi, Xiaolong Yan, Jiankang He, Tao Du, Dichen Li, Yanwen Su, Lijun Huang, Qixing Luo, Yujian Liu, Xi Liu, Feiyang Yin, Hao Zhang, Weiwei Wu, Lei Wang
Publikováno v:
Advanced Materials Interfaces. 8:2100547
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16d977485b5c46d13a61b6ffbfa20c69
https://doi.org/10.1002/admi.202100547
https://doi.org/10.1002/admi.202100547
Publikováno v:
2018 13th International Conference on Computer Science & Education (ICCSE).
Ant Colony Optimization algorithm (ACO) is a kind of probabilistic algorithm used to find the optimal path. It has natural advantages in the resource scheduling algorithm of big data environments. However, the accuracy and stability of the algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20751a0acb19912a2cf1b554053cc305
https://doi.org/10.1109/iccse.2018.8468685
https://doi.org/10.1109/iccse.2018.8468685
Publikováno v:
2018 13th International Conference on Computer Science & Education (ICCSE).
Hybrid Rice Optimization Algorithm(HRO) is a novel swarm intelligence optimization algorithm based on heuristic evolutionary computation, which is inspired by the cultivation process of three line hybrid rice. In this paper, we design and implement d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::369d9265006a9b5fdbdae16944195fb4
https://doi.org/10.1109/iccse.2018.8468790
https://doi.org/10.1109/iccse.2018.8468790
Publikováno v:
ICACI
This paper starts from the perspective of the entire impacts of text features to classification results, and present a method of text feature selection that based on Water Wave Optimization (WWO) algorithm, Water Wave Optimization Text Feature Select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5472e2afe3332fa700cce602cdc31a
https://doi.org/10.1109/icaci.2018.8377518
https://doi.org/10.1109/icaci.2018.8377518
Publikováno v:
2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).
Due to such problems as low-efficiency and low-precision using the traditional FP-Growth algorithm with huge amount of data, this paper raises MSPF algorithm based Particle swarm optimization. This method used anti-monotony property pruning approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d6b659baa4108c12897a6bd5f0322ca
https://doi.org/10.1109/itnec.2017.8284975
https://doi.org/10.1109/itnec.2017.8284975