Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aung Myo Thaw"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 2, Pp 667-674 (2020)
In real life, extracting from real data through data mining is a complicated process. Meta-learning helps optimize algorithm parameters to improve the performance of data mining. And semantic meta mining helps build workflows based on knowledge model
Externí odkaz:
https://doaj.org/article/ef110c285abc4f36b809359ca2c42eb5
Publikováno v:
Procedia Computer Science. 186:235-241
Cloud computing has been used for providing services for many years already, but now it is seen that it is not a solution for big modern networks that contain multiple distributed devices and produce huge amount of data. In these conditions existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13505cf0751d3323c0b28713628725f9
https://doi.org/10.1016/j.procs.2021.04.143
https://doi.org/10.1016/j.procs.2021.04.143
Publikováno v:
Computational nanotechnology. 7:62-71
The collection of data from the network with dynamic structure is a complex process that must be performed with considering of security, energy efficiency and latency requirements. To determine the optimal data collection models that meet the stated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c219bbe97e8734c91ef524c9f63b45c6
https://doi.org/10.33693/2313-223x-2020-7-3-62-71
https://doi.org/10.33693/2313-223x-2020-7-3-62-71
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789813369832
Fog computing has become the key solution that allows reduce latency and energy consumption when collecting and processing data in IoT systems. The advantages of fog computing can also be used to collect and process data in new mobile IoT systems. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4f60d5f5ca1ad7576375169bf5908a
https://doi.org/10.1007/978-981-33-6984-9_11
https://doi.org/10.1007/978-981-33-6984-9_11
Publikováno v:
IEEE Conf. on Intelligent Systems
In the current state of IoT systems development, the fog techniques become the key solution of latency and energy consumption reducing when collecting and processing end user data. Instead of processing and storing data in the cloud, the fog techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22640a5213c4735289f31272fb917762
https://doi.org/10.1109/is48319.2020.9200138
https://doi.org/10.1109/is48319.2020.9200138
Publikováno v:
MECO
This paper describes secure data collection of mobiles devices by the combination of clustering and fog techniques. The main purpose of the data collection model is to improve not only secure communication between IoT devices, but also consider laten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e16b537d1b12c093f6e16e2f9eac204
https://doi.org/10.1109/meco49872.2020.9134366
https://doi.org/10.1109/meco49872.2020.9134366
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 458-463 (2020)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 458-463 (2020)
Nowadays, the heterogeneous network and devices of IoT become more complex and encountered several challenges. The investigations of social networks show that social network analysis methods are useful for the evolution and development of communicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f425ce038890a2310877ad89279e1d61
https://doi.org/10.23919/fruct48808.2020.9087350
https://doi.org/10.23919/fruct48808.2020.9087350