Browsing by Author "Shen L"

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    Comparison of algorithms for road surface temperature prediction
    (Emerald Publishing Limited, 2018-12-13) Liu B; Shen L; You H; Dong Y; Li J; Li Y
    Purpose: The influence of road surface temperature (RST) on vehicles is becoming more and more obvious. Accurate predication of RST is distinctly meaningful. At present, however, the prediction accuracy of RST is not satisfied with physical methods or statistical learning methods. To find an effective prediction method, this paper selects five representative algorithms to predict the road surface temperature separately. Design/methodology/approach: Multiple linear regressions, least absolute shrinkage and selection operator, random forest and gradient boosting regression tree (GBRT) and neural network are chosen to be representative predictors. Findings: The experimental results show that for temperature data set of this experiment, the prediction effect of GBRT in the ensemble algorithm is the best compared with the other four algorithms. Originality/value: This paper compares different kinds of machine learning algorithms, observes the road surface temperature data from different angles, and finds the most suitable prediction method.
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    Language endangerment and the linguistic vitality of Miao in China: Cultural shifts and revitalisation strategies
    (Taylor and Francis Group, 2024-10-03) Li M; Croucher S; Shen L
    This study applies ethnolinguistic vitality (EV) theory to analyse the diminishing proficiency and usage of the Miao language among its speakers in Guizhou, China. Forty-five Miao participated in the semi-structured interviews for this project. The study identified the languageā€™s endangered status characterised by low vitality, Mandarin dominance, declining proficiency, and economic-cultural shifts. Media influence exacerbated these threats, while negative perceptions of Miao linguistic capital and inadequate educational resources further endanger the language. Integrating EV theory, this study informs targeted revitalisation efforts crucial for ensuring the sustainability of the Miao language amidst socio-economic pressures favouring Mandarin dominance in China.