Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yunsheng Fu"'
Publikováno v:
Micromachines, Vol 14, Iss 9, p 1663 (2023)
Low-temperature lead-free silver pastes deserve thorough investigation for sustainable development and application of MgTiO3 ceramics in electronic devices. In this study, a series of Bi2O3-B2O3-ZnO-SiO2-Al2O3-CaO glasses with suitable softening temp
Externí odkaz:
https://doaj.org/article/cdbbdd8dd57449679a6216196597b59e
XWM: a high-speed matching algorithm for large-scale URL rules in wireless surveillance applications
Publikováno v:
Multimedia Tools and Applications. 79:16245-16263
Large-scale high-speed URL matching is a key operation in many network security systems and surveillance applications in Wireless Sensor Networks. Classic string matching algorithms are unsuitable for large-scale URL filtering due to speed or memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3815eec519ad438860de426415c59b
https://doi.org/10.1007/s11042-019-07822-8
https://doi.org/10.1007/s11042-019-07822-8
Autor:
Aleksei Grigorev, Worku Jifara, Zhihong Tian, Khan Adil, Yunsheng Fu, Seungmin Rho, Feng Jiang, Shaohui Liu
Publikováno v:
Neural Computing and Applications. 29:1257-1265
The image semantic segmentation has been extensively studying. The modern methods rely on the deep convolutional neural networks, which can be trained to address this problem. A few years ago networks require the huge dataset to be trained. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ba9b5e0d0016e0d91879c9e5191c4c
https://doi.org/10.1007/s00521-017-3158-6
https://doi.org/10.1007/s00521-017-3158-6
Publikováno v:
Sustainability
Volume 10
Issue 6
Sustainability, Vol 10, Iss 6, p 1865 (2018)
Volume 10
Issue 6
Sustainability, Vol 10, Iss 6, p 1865 (2018)
The traditional classification methods for limb motion recognition based on sEMG have been deeply researched and shown promising results. However, information loss during feature extraction reduces the recognition accuracy. To obtain higher accuracy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::733adced32a483224d4d11fb7dacb930
Publikováno v:
DSC
With the evolution of network threat, identifying threat from internal is getting more and more difficult. To detect malicious insiders, we move forward a step and propose a novel attribute classification insider threat detection method based on long
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::104cd0878dd095c725ccc7efc7126680
https://doi.org/10.1109/dsc.2018.00092
https://doi.org/10.1109/dsc.2018.00092
Publikováno v:
DSC
Deep learning methods, e.g., convolutional neural networks(CNNs) and Recurrent Neural Networks(RNNs), have achieved great success in image processing and natural language processing especially in high level vision applications such as recognition and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::288081e861eea79c6b74426052ccfd7a
https://doi.org/10.1109/dsc.2018.00078
https://doi.org/10.1109/dsc.2018.00078
Publikováno v:
ICACI
With the evolution of network threat, identifying attack from both external and internal is getting more and more difficult. To detect both known and unknown malicious attacks, several machine learning algorithms are utilized. However, these algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb1faf00e4cc6c092669d6ca570012c9
https://doi.org/10.1109/icaci.2018.8377511
https://doi.org/10.1109/icaci.2018.8377511
Publikováno v:
Advances in Multimedia Information Processing – PCM 2017 ISBN: 9783319773827
PCM (2)
PCM (2)
This paper presents a competitive combat strategy and tactics in RTS Games AI. To put it simply, if a player is building up base, he is losing out on creating an army and If he is building up his army, he is losing out on having a strong base. The ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4678693f5890bd17f47ab032792e944d
https://doi.org/10.1007/978-3-319-77383-4_1
https://doi.org/10.1007/978-3-319-77383-4_1
Publikováno v:
2017 International Conference on Computer Systems, Electronics and Control (ICCSEC).
Intrusion Detection System (IDS) is built to detect both known and unknown malicious attacks. Several machine learning algorithms are used widely in IDS such as neural network, SVM, KNN etc. However, these algorithms have still some limitations such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8070c5cab105ca8203610281b21f80
https://doi.org/10.1109/iccsec.2017.8447022
https://doi.org/10.1109/iccsec.2017.8447022
Publikováno v:
International Journal of Advanced Computer Science and Applications. 8
This paper presents a review of artificial intelligence for different approaches used in real-time strategy games. Real-time strategy (RTS) based games are quick combat games in which the objective is to dominate and destroy the opposing enemy such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad9b9e51849e9aa951e9309875dabccc
https://doi.org/10.14569/ijacsa.2017.081203
https://doi.org/10.14569/ijacsa.2017.081203