Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thitimanan DAMRONGSAKMETHEE"'
Publikováno v:
Geo Journal of Tourism and Geosites, Vol 50, Iss 4, Pp 1400-1410 (2023)
There is a lack of research that focusing on assisting yoga businesses in digital marketing during COVID-19. This research aimed to: 1) investigate the behavior of Thai tourists in purchasing yoga tourism products or services; 2) investigate factor
Externí odkaz:
https://doaj.org/article/d9781e751f32461db0f1b6ade11a9e24
Publikováno v:
2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
The objective of this research is to develop a Deep Learning model to forecast the stock price market, by using the variant of Long Short-Term Memory (Deep LSTM). This model predicts close price of the stock for the next day, choosing as inputs the f
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030519704
CSOC (2)
CSOC (2)
The objective of this research is to implement a Deep Learning model with Long Short-Term Memory (DLSTM) for prediction of the currency exchange rate. The system predicts the currency exchange rate using a fusion of data from the following financial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc137755009d1f1fc850ce20018f05ea
https://doi.org/10.1007/978-3-030-51971-1_40
https://doi.org/10.1007/978-3-030-51971-1_40
Publikováno v:
Indian Journal of Science and Technology. 10:1-7
Data mining is the process of discovering patterns, corresponding to valuable information from the large data sets, involving methods at the intersection of machine learning, statistics and database systems. Evolving from the fields of pattern recogn
Publikováno v:
2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
This paper presents a Nonlinear Autoregressive Exogenous (NARX) model using feed-forward neural network learning to forecast the exchange rate. We have evaluated the model performances by considering the exchange rate of the Thai baht per US dollar u
Publikováno v:
Computational Statistics and Mathematical Modeling Methods in Intelligent Systems ISBN: 9783030313616
Within this paper, we evaluate two main machine learning techniques for credit scoring. The first algorithm consists of a cascade with two steps: (a) C4.5 decision tree; (b) AdaBoost for binary classification (credit accepted or rejected). The second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d1061da68bab7effac220e6aa9266ea
https://doi.org/10.1007/978-3-030-31362-3_22
https://doi.org/10.1007/978-3-030-31362-3_22
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030198091
CSOC (2)
CSOC (2)
The objective of this paper is to propose a credit scoring approval model using a feature selection technique performed by Principal Component Analysis (PCA) and ReliefF algorithm followed by a decision tree classifier. As a reference classifier, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a90ed8d11e19e1009f186ede5ba5857
https://doi.org/10.1007/978-3-030-19810-7_9
https://doi.org/10.1007/978-3-030-19810-7_9