Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kietikul Jearanaitanakij"'
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 44, Iss 4, Pp 914-922 (2022)
Traffic signal control (TSC) is a challenging issue in managing an urban transportation system. A fixed time TSC is easy to implement but has drawbacks in such measures as flow rate, waiting time, and traffic density. The situation gets worse when
Externí odkaz:
https://doaj.org/article/b86005252d8b4137a0369d22b9694a6b
Publikováno v:
2022 6th International Conference on Information Technology (InCIT).
Autor:
Kietikul Jearanaitanakij
Naresuan University Engineering Journal, 17, 2, 54-61
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7910dde30151500fc80693538d76582b
Publikováno v:
2020 - 5th International Conference on Information Technology (InCIT).
Assigning proper weights to attributes in some datasets according to their importances can significantly improve the classification accuracy. Weighted attributes can support the classification methods effectively if their weights truly represent by t
Publikováno v:
2019 4th International Conference on Information Technology (InCIT).
Candlestick chart pattern is a technical tool that encapsulates the price of the asset for multiple time frames into a single price bar. The expertized trader can predict the price trend of the asset by looking at the pattern of some adjacent candles
Publikováno v:
2018 22nd International Computer Science and Engineering Conference (ICSEC).
The ID3 algorithm is one of the most popular decision tree algorithms which is mainly used in the classification task. There are many pieces of research about improving the ID3 algorithm by using various strategies. We improved the ID3 algorithm by a
Publikováno v:
2018 22nd International Computer Science and Engineering Conference (ICSEC).
Among various classification algorithms, ID3 is one of the most widely used and well-known tools that generates an efficient decision tree. Nevertheless, ID3 is too rigorous in generating the decision rules. As a result, the final decision tree may c
Autor:
Ngoc Thanh Nguyen, Kietikul Jearanaitanakij, Ali Selamat, Bogdan Trawiński, Suphamit Chittayasothorn
The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for
Publikováno v:
2018 18th International Symposium on Communications and Information Technologies (ISCIT).
This paper proposed the improvement of convergence performance for deep learning. For traditional algorithm, the learning rate is depended on experience and experiment. In this work, the learning rate can be adaptived based on Taylor’s formula. Thi
Publikováno v:
2017 21st International Computer Science and Engineering Conference (ICSEC).
ID3 is one of the most widely used algorithms for creating a classification decision tree. However, the traditional ID3 algorithm has a difficulty when there are equally important attributes during the decision node construction. It randomly selects