Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Guangshe Zhao"'
Autor:
Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao, Yannan Xing, Dingheng Wang, Tianxiang Hu, Wei Fang, Tugba Demirci, Michele De Marchi, Lei Deng, Tianyi Yan, Carsten Nielsen, Sadique Sheik, Chenxi Wu, Yonghong Tian, Bo Xu, Guoqi Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mec
Externí odkaz:
https://doaj.org/article/704b1a6e4b894a82bdb9e28f5457d982
Autor:
Guangshe ZHAO, Chuntao ZHAO
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 35, Iss 4, Pp 77-83 (2021)
Given the problem of three-sources uncertainty in aero engine degradation process and the assumption of normal distribution of measurement error in existing research, a Wiener process aero engine residual useful life time(RUL) prediction method with
Externí odkaz:
https://doaj.org/article/00d361a67df049c2a2a5ef9a516ec129
Publikováno v:
Sensors, Vol 18, Iss 4, p 1256 (2018)
This paper presents an approach to seeker-azimuth determination using the gyro rotor and optoelectronic sensors. In the proposed method, the gyro rotor is designed with a set of black and white right spherical triangle patterns on its surface. Two pa
Externí odkaz:
https://doaj.org/article/b10f735cd464467b8cb924c7f0ae7fb0
Autor:
Guoqi Li, Daxuan Zhao, Yi Xu, Shyh-Hao Kuo, Hai-Yan Xu, Nan Hu, Guangshe Zhao, Christopher Monterola
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0137324 (2015)
In this paper, an entropy-based method is proposed to forecast the demographical changes of countries. We formulate the estimation of future demographical profiles as a constrained optimization problem, anchored on the empirically validated assumptio
Externí odkaz:
https://doaj.org/article/25294cc1cd454474852807c88f6ec3c5
Publikováno v:
IEEE Transactions on Control of Network Systems. 8:212-221
Controlling a preselected subset of nodes (named “target control”) of complex networks with minimal control energy is a critically important physical issue. To address this issue, first, an energy cost function is established by designing an opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01d2499f640728eb739064398eb14da2
https://doi.org/10.1109/tcns.2020.3024318
https://doi.org/10.1109/tcns.2020.3024318
Autor:
Peng Li, Guangshe Zhao, Xing Hu, Yuan Xie, Lei Deng, Yujie Wu, Ling Liang, Yufei Ding, Guoqi Li
Publikováno v:
Neural Networks. 121:294-307
Artificial neural networks (ANNs), a popular path towards artificial intelligence, have experienced remarkable success via mature models, various benchmarks, open-source datasets, and powerful computing platforms. Spiking neural networks (SNNs), a ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::397968f63909cb8ab178240ed7ad30f6
https://doi.org/10.1016/j.neunet.2019.09.005
https://doi.org/10.1016/j.neunet.2019.09.005
Benefiting from the event-driven and sparse spiking characteristics of the brain, spiking neural networks (SNNs) are becoming an energy-efficient alternative to artificial neural networks (ANNs). However, the performance gap between SNNs and ANNs has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8ac65c80c3ee20199385ed20de54d0
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
How to effectively and efficiently deal with spatio-temporal event streams, where the events are generally sparse and non-uniform and have the microsecond temporal resolution, is of great value and has various real-life applications. Spiking neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1deaa089eae8218bd04c5c6a059b1b0
https://doi.org/10.1109/iccv48922.2021.01006
https://doi.org/10.1109/iccv48922.2021.01006
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 149
Bio-inspired recipes are being introduced to artificial neural networks for the efficient processing of spatio-temporal tasks. Among them, Leaky Integrate and Fire (LIF) model is the most remarkable one thanks to its temporal processing capability, l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6cab8f5bf8a9900cdc7e1799497d571
https://pubmed.ncbi.nlm.nih.gov/35248808
https://pubmed.ncbi.nlm.nih.gov/35248808
Publikováno v:
Neural Computing and Applications. 32:14347-14358
This paper aims to improve data-driven prognostics by presenting a novel approach of directly estimating the remaining useful life (RUL) of aero-engines without requiring setting any failure threshold information or estimating degradation states. Spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96295cc19d6701313950e5930dc7be0b
https://doi.org/10.1007/s00521-019-04478-1
https://doi.org/10.1007/s00521-019-04478-1