Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Youcong Ni"'
Publikováno v:
IEEE Access, Vol 6, Pp 35915-35925 (2018)
Image change detection is a research hotspot in many fields of application, such as environmental monitoring, disaster investigation, urban research, and more. How to reduce the influence of speckle noise when conducting change detection in an acquir
Externí odkaz:
https://doaj.org/article/503f71453d094ce8aebbe50c2897041a
Publikováno v:
International Journal of Cognitive Informatics and Natural Intelligence. 15:1-15
Due to the limited search space in the existing performance optimization ap-proaches at software architectures of cloud applications (SAoCA) level, it is difficult for these methods to obtain the cloud resource usage scheme with optimal cost-performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::598a342c68366d69fbc9ab92a852cab6
https://doi.org/10.4018/ijcini.295808
https://doi.org/10.4018/ijcini.295808
Publikováno v:
IEEE Internet of Things Journal. 7:10985-10995
With the advent of the 5G era, wireless multimedia sensor networks (WMSNs) will be more widely used in security monitoring, environmental monitoring, intelligent transportation, and other applications of the Internet of Things (IoT). Data collected b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f332f4655978c53e05c453efabc55156
https://doi.org/10.1109/jiot.2020.2992035
https://doi.org/10.1109/jiot.2020.2992035
Publikováno v:
Exploration of Novel Intelligent Optimization Algorithms ISBN: 9789811941085
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::595fcf518adfae6e08d2135eff8e0e66
https://doi.org/10.1007/978-981-19-4109-2_13
https://doi.org/10.1007/978-981-19-4109-2_13
Publikováno v:
International Journal of Bio-Inspired Computation. 21:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::377231b1ddcd0f4ad731e4413ff56dc8
https://doi.org/10.1504/ijbic.2023.129982
https://doi.org/10.1504/ijbic.2023.129982
Publikováno v:
Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering.
Architecture-based software performance optimisation can help to find potential performance problems and mitigate their negative effects at an early stage. To automate this optimisation process, rule-based and metaheuristic-based performance optimisa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f60f6a6eff419e1bc14df7535082487
https://doi.org/10.1145/3443467.3443914
https://doi.org/10.1145/3443467.3443914
Publikováno v:
IEEE Access, Vol 6, Pp 35915-35925 (2018)
Image change detection is a research hotspot in many fields of application, such as environmental monitoring, disaster investigation, urban research, and more. How to reduce the influence of speckle noise when conducting change detection in an acquir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c45a4669f3abb09682dc292f48ab830
https://ieeexplore.ieee.org/document/8388197/
https://ieeexplore.ieee.org/document/8388197/
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811555763
Due to the limited search space in the existing performance optimization approaches at software architectures of cloud applications (SAoCA) level, it is difficult for these methods to obtain the cloud resource usage scheme with optimal cost-performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd8095499175b47644d85ef738fd75f0
https://doi.org/10.1007/978-981-15-5577-0_58
https://doi.org/10.1007/978-981-15-5577-0_58
Publikováno v:
Information and Software Technology. 135:106565
Architecture-based software performance optimisation can help to find potential performance problems and mitigate their negative effects at an early stage. To automate this optimisation process, rule-based and metaheuristic-based performance optimisa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8adc2ac88f6e616bfb46c32755bc1839
https://doi.org/10.1016/j.infsof.2021.106565
https://doi.org/10.1016/j.infsof.2021.106565
Publikováno v:
Soft Computing. 19:1611-1625
This paper studies the time complexity of gene expression programming based on maintaining elitist (ME-GEP). Using the theory of Markov chain and the technique of artificial fitness level, the properties of transition matrices of ME-GEP are analyzed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8997dd05f90f51b5063881c03818c446
https://doi.org/10.1007/s00500-014-1551-y
https://doi.org/10.1007/s00500-014-1551-y