Titlebook: Recent Advances in Information and Communication Technology 2020; Proceedings of the 1 Phayung Meesad,Sunantha Sodsee Conference proceeding

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,An Empirical Study Towards the Intention to Use QR Code Payment in Champasak Province, Lao People’sregression. The results suggested that Perceived Usefulness and Social Influence are the two strongest significantly affect the intention to use the QR code payment system. The finding of this study should help the QR code payment system provider to design the system suitable for consumers in Champa

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Wearable Computing for Dementia Patients,itting and standing. Moreover, the best position of the wearable was concluded to be on the back of the patients. Then according to the previous works in fall detection systems, the models that we chose to compare their performance are feedforward neural network, support vector machine, decision tre

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Thai Words Segmentation Using an Unsupervised Learning Technique,The syllable distance is the measure of how far apart each pair of syllables is in a document. The implementation was done using Python and achieves 70% accuracy (F1 measure) while using a 100k untagged words training dataset. The performance also improves with more training data and some tuning of

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A Framework for Designing and Evaluating Persuasive Technology in Education,s from students who used persuasive technology with the students who did not use it. The results from multiple linear regression showed that primary task support and social support were significantly influencing students’ intention to adopt persuasive technology in the classroom. The classrooms that

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Biomarker Identification in Colorectal Cancer Using Subnetwork Analysis with Feature Selection,owed a better performance than the bottom-ranked gene-sets. The identified top-ranked gene-sets such as TNF-beta and MAPK signaling pathway were known to relate to cancer. In addition, the characteristic of top identified pathway network was further analyzed and visualized. SMAD3, a gene that was re

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A Comparative Study on Artificial Neural Network and Radial Basis Function for Modelling Output Resated though non-linear test problems ranging from 2 to 8 input variables and evaluated by the root mean squared of error (RMSE) values. The results show that RBF model performs well when small dimension of problem with small design run is considered while KRG model is the most accurate model when th