Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Pakarat Musikawan"'
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
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1492 (2023)
MOOCs are online learning environments which many students use, but the success rate of online learning is low. Machine learning can be used to predict learning success based on how people learn in MOOCs. Predicting the learning performance can promo
Externí odkaz:
https://doaj.org/article/73c7632ff2a440bcac4765b0b1239358
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
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
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).
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.
Publikováno v:
Expert Systems with Applications. 198:116767
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
Publikováno v:
International Journal of Machine Learning and Cybernetics. 10:979-989
Multi-label classification is a special kind of classification problem, where a single instance can be labeled to more than one class. Extreme learning machine (ELM) with kernel is an efficient method for solving both regression and multi-class class