Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yanika Kongsorot"'
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-28 (2024)
Abstract The Internet of Things (IoT) has gained popularity and is widely used in modern society. The growth in the sizes of IoT networks with more internet-connected devices has led to concerns regarding privacy and security. In particular, related
Externí odkaz:
https://doaj.org/article/9bee6ccdcf1f4db8821e556dd839e407
Publikováno v:
IEEE Access, Vol 12, Pp 152482-152497 (2024)
In light of the flourishing proliferation of internet services, the popularity of the Internet of Things (IoT) has swiftly grown in the medical and healthcare fields, and this has been accompanied by a simultaneous escalation in the sophistication of
Externí odkaz:
https://doaj.org/article/3dc15b92db2a46f096c5c54a284d52ce
Publikováno v:
IEEE Access, Vol 8, Pp 46055-46070 (2020)
Multi-label learning with emerging new labels is a practical problem that occurs in data streams and has become an important new research issue in the area of machine learning. However, existing models for dealing with this problem require high learn
Externí odkaz:
https://doaj.org/article/f618b64923014e279b3ed3b0a9399490
Autor:
Pakarat Musikawan, Khamron Sunat, Yanika Kongsorot, Punyaphol Horata, Sirapat Chiewchanwattana
Publikováno v:
IEEE Access, Vol 7, Pp 26909-26932 (2019)
A feedforward neural network ensemble trained through metaheuristic algorithms has been proposed by researchers to produce a group of optimal neural networks. This method, however, has proven to be very time-consuming during the optimization process.
Externí odkaz:
https://doaj.org/article/48861e2b663d491988635ec9643207ab
Publikováno v:
IEEE Internet of Things Journal. 10:8560-8577
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::131f279eeeaa8a648a031d8395f60a3a
https://doi.org/10.1109/jiot.2022.3194881
https://doi.org/10.1109/jiot.2022.3194881
Publikováno v:
ECTI Transactions on Computer and Information Technology (ECTI-CIT). 14:122-138
Accurate and reliable wind power forecasting plays a vital role in the operation and management of power systems. Hence, it has become necessary to research and develop a high-accuracy wind power forecasting model. However, owing to highly nonlinear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd41e0d561d27158fc5a5c2c780f0320
https://doi.org/10.37936/ecti-cit.2020142.239860
https://doi.org/10.37936/ecti-cit.2020142.239860
Autor:
Chinapat Sakunrasrisuay, Pakarat Musikawan, Anh-Nhat Nguyen, Yanika Kongsorot, Phet Aimtongkham, Chakchai So-In
Publikováno v:
2021 25th International Computer Science and Engineering Conference (ICSEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47bc5c37d148f9d5010e16b332a9b282
https://doi.org/10.1109/icsec53205.2021.9684584
https://doi.org/10.1109/icsec53205.2021.9684584
Publikováno v:
Expert Systems with Applications. 198:116767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2ac647ad360ea6fc23bea7135992ebd
https://doi.org/10.1016/j.eswa.2022.116767
https://doi.org/10.1016/j.eswa.2022.116767
Autor:
Khamron Sunat, Pakarat Musikawan, Punyaphol Horata, Yanika Kongsorot, Sirapat Chiewchanwattana
Publikováno v:
IEEE Access, Vol 7, Pp 26909-26932 (2019)
A feedforward neural network ensemble trained through metaheuristic algorithms has been proposed by researchers to produce a group of optimal neural networks. This method, however, has proven to be very time-consuming during the optimization process.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::799af361111d73e1b0b06c5b7cfdcc85
https://doi.org/10.1109/access.2019.2900563
https://doi.org/10.1109/access.2019.2900563
Publikováno v:
Expert Systems with Applications. 189:116035
The network coverage problem for an area with a randomly deployed wireless sensor network (WSN) in the presence of obstacles can be alleviated through mobile sensor nodes. However, the requirement for the dissipated energy in mobility and sensing has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0258fde94f8b8d731ee063bf2525b98
https://doi.org/10.1016/j.eswa.2021.116035
https://doi.org/10.1016/j.eswa.2021.116035