Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Waranyu Wongseree"'
Publikováno v:
Hydrological Research Letters. 15:1-8
Publikováno v:
IEEE Transactions on Consumer Electronics. 66:96-105
Home energy monitoring by appliance-level information can provide consumers awareness on energy saving. The system can be implemented through a smart meter which requires an efficient data analysis algorithm for providing an accurate energy consumpti
Publikováno v:
Journal of Web Engineering.
The climate change which is essential for daily life and especially agriculture has been forecasted by global climate models (GCMs) in the past few years. Statistical downscaling method (SD) has been used to improve the GCMs and enables the projectio
Publikováno v:
Sustainable Cities and Society. 39:621-630
This paper proposes an experimental design process for the application of energy disaggregation using multi-label classification. The classification approach has recently shown to be a suitable representative model for treating data disaggregation in
Publikováno v:
Hydrological Research Letters; 2021, Vol. 15 Issue 1, p1-8, 8p
Publikováno v:
2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
This paper presents an experimental design for building an efficient energy disaggregation system through multi-label classification approach. The proposed system requires a single point measurement of common electrical parameter data at aggregate el
Publikováno v:
2016 Management and Innovation Technology International Conference (MITicon).
Receiver operating characteristic (ROC) curve has been employed in classification problems along with the area under the curve (AUC) as the performance indicator of classifiers. Both parametric and non-parametric methods have been widely used to esti
Autor:
Chanin Limwongse, Theera Piroonratana, Waranyu Wongseree, Chompunut Kanjanakorn, Damrongrit Setsirichok, Monchan Sirikong, Nuttawut Paulkhaolarn, Nachol Chaiyaratana, Touchpong Usavanarong
Publikováno v:
Biomedical Signal Processing and Control. 7:202-212
This article presents the classification of blood characteristics by a C4.5 decision tree, a naive Bayes classifier and a multilayer perceptron for thalassaemia screening. The aim is to classify eighteen classes of thalassaemia abnormality, which hav
Autor:
Wanna Thongnoppakhun, Nachol Chaiyaratana, Monchan Sirikong, Chanin Limwongse, Anunchai Assawamakin, Theera Piroonratana, Waranyu Wongseree, Chompunut Kanjanakorn, Nuttawut Paulkhaolarn
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 99:101-110
This article presents an application of a neural network and decision trees in thalassaemia screening. The aim is to classify thirteen classes of thalassaemia abnormality and one control class by inspecting the distribution of multiple types of haemo
Autor:
Nachol Chaiyaratana, Suthat Fucharoen, Pranee Winichagoon, Kanjana Vichittumaros, Waranyu Wongseree
Publikováno v:
Information Sciences. 177:771-786
This paper presents the use of a neural network and a decision tree, which is evolved by genetic programming (GP), in thalassaemia classification. The aim is to differentiate between thalassaemic patients, persons with thalassaemia trait and normal s