Nguyen Thi Thuy Hang

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Parameter calibration is an important step in the development of rainfall–runoff models. Recently, there has been a significant focus on automatic calibration. In this paper, two evolutionary optimization algorithms were applied to calibration of the long- and short-term runoff model (LST model) to simulate the daily rainfall–runoff process in the Be River(More)
<lb>The aim of the present study was to develop methods to model preferences at the individual<lb>or even contextuallevel. Such model may increase the explanatory power of the data and<lb>thereby be a stronger tool for understanding the consumer variation, the contextual variation<lb>and the cultural variation. A better understanding of these variations(More)
Graphitic carbon nitride (g-C₃N₄) nanosheets were exfoliated from bulk g-C₃N₄ and utilized to improve the sensing performance of a pure graphene sensor for the first time. The role of hydrochloric acid treatment on the exfoliation result was carefully examined. The exfoliated products were characterized by X-ray diffraction (XRD) patterns, scanning electron(More)
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