Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Guangxiao Song"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
Blade icing problems are ubiquitous for wind turbines located in cold climate zones. Data-driven indirect icing detection methods based on supervisory control and data acquisition system have shown strong potential recently. However, the supervisory
Externí odkaz:
https://doaj.org/article/c51852bee0c64b43b7cb1b64a10bd6f7
Publikováno v:
Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3e6b070f7e26f391ac4f5c860a75210
https://doi.org/10.1117/12.2667472
https://doi.org/10.1117/12.2667472
A novel parallel clock-driven algorithm for simulation of neuronal networks based on virtual synapse
Publikováno v:
SIMULATION. 96:415-427
The traditional clock-driven algorithm is very time-consuming when performed on large-scale neuronal networks due to the huge number of synaptic currents computation and low performance of the parallel implementation of the algorithm. We find in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ba18f3aa5cca0282279af439328ee5
https://doi.org/10.1177/0037549720903804
https://doi.org/10.1177/0037549720903804
Publikováno v:
IEEE Signal Processing Letters. 27:451-455
Recent work has shown the effectiveness of the plug-and-play priors (PnP) framework for regularized image reconstruction. However, the performance of PnP depends on the quality of the denoisers used as priors. In this letter, we design a novel PnP de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7f3d6c1cc4bce722a54899799a32b9e
https://doi.org/10.1109/lsp.2020.2977214
https://doi.org/10.1109/lsp.2020.2977214
Publikováno v:
Rock Mechanics and Rock Engineering. 53:1923-1934
Crack propagation and rock failure under hydromechanical coupling have typical time-dependent characteristics, and the subcritical crack propagation is one of the most important causes of rock instability. Rheological tests based on mortar specimens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d158754bfd99da7dadc3b0bd1ccfa191
https://doi.org/10.1007/s00603-019-02020-2
https://doi.org/10.1007/s00603-019-02020-2
Autor:
Guangxiao Song, Zhijie Wang
Publikováno v:
Electronics; Volume 11; Issue 24; Pages: 4186
In music information retrieval (MIR), beat tracking is one of the most fundamental tasks. To obtain this critical component from rhythmic music signals, a previous beat tracking system of hidden Markov model (HMM) with a recurrent neural network (RNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::122c5b2d0a85211b782a6b16392c36a5
https://doi.org/10.3390/electronics11244186
https://doi.org/10.3390/electronics11244186
Publikováno v:
Neurocomputing. 359:32-40
Electrical smelting furnace (ESF) is the primary equipment to produce steer, nonferrous metals and other materials. In smelting process, it is beneficial to keep the smelting current stable within a reasonable range to improve product quality and red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace7c0fccf9ec4599d9d148405a75987
https://doi.org/10.1016/j.neucom.2019.05.060
https://doi.org/10.1016/j.neucom.2019.05.060
Publikováno v:
Neurocomputing. 292:104-110
Musical tags are used to describe music and are cruxes of music information retrieval. Existing methods for music auto-tagging usually consist of preprocessing phase (feature extraction) and machine learning phase. However, the preprocessing phase of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c3bd8b3bae445510e8e2d76c3faba3f
https://doi.org/10.1016/j.neucom.2018.02.076
https://doi.org/10.1016/j.neucom.2018.02.076
Publikováno v:
Neurocomputing. 292:121-129
The computing of synaptic currents occupies a major part of computational cost when simulating a large scale spiking neural network. Based on the observation that the probability of a neuron receiving at least one spike from any synapses during a ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7441ece3ed69d5200067b31399ca0da0
https://doi.org/10.1016/j.neucom.2018.02.085
https://doi.org/10.1016/j.neucom.2018.02.085
Publikováno v:
ICAAI
In recent years, the manual recognition and classification of natural stones have become a multifaceted challenge due to the similar patterns and visual appearance. Therefore in the current study, a robust and more effective system has been developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45a7b9ef9fa9abd4e535be021207a34
https://doi.org/10.1145/3369114.3369124
https://doi.org/10.1145/3369114.3369124