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Chia-Ho Wang, Hsiang-Lin Yu and Tsang-Jung Chang
Currently, for modeling two-dimensional (2D) solute transport during pluvial and fluvial floods, the finite volume (FV) models are widely used because of their strong ability to handle steep concentration and velocity gradients from the flow advection te...
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Wei-Ling Hsu, Yi-Jheng Chang, Lin Mou, Juan-Wen Huang and Hsin-Lung Liu
Historic urban areas are the foundations of urban development. Due to rapid urbanization, the sustainable development of historic urban areas has become challenging for many cities. Elements of tourism and tourism service facilities play an important rol...
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Tao Sun, Fakai Yang, Xinzhuang Cui, Zhaochao Huang, Xianzhou Lyu, Ruijin Ma, Yujun Chang, Shengmei Liu, Chen Wang, Zhiyuan Lin and Xiaoning Zhang
To solve the problem of the high bearing capacity of structures in deep and weak soil layers, we invented a new type of pile group foundation in which the soil was continuously solidified between piles (hereinafter referred to as the SCS pile group found...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Shih-Lun Fang, Yi-Shan Lin, Sheng-Chih Chang, Yi-Lung Chang, Bing-Yun Tsai and Bo-Jein Kuo
The reference evapotranspiration (ET0) information is crucial for irrigation planning and water resource management. While the Penman-Monteith (PM) equation is widely recognized for ET0 calculation, its reliance on numerous meteorological parameters cons...
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Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin and Jian-Chang Hong
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in som...
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Haoling Ren, Jiangdong Wu, Tianliang Lin, Yu Yao and Chang Liu
Intelligent agricultural machinery refers to machinery that can independently complete tasks in the field, which has great significance for the transformation of agricultural modernization. However, most of the existing research on intelligent agricultur...
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Kuen-Suan Chen, Song-Chang Lin, Kuei-Kuei Lai and Wen-Pai Wang
According to numerous studies, various parts processed by machine tools usually have multiple-quality characteristics at the same time. Moreover, the process capability index is a handy and useful tool for assessing various quality characteristics. In or...
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Chin-Shyang Shyu, Chun-Chang Yen and Cheng-Sheng Lin
Affected by advances in artificial intelligence and awareness of green environmentalism, consumers? purchasing behavior of fresh agricultural products has been transformed. New agricultural value chains are being created, such as the new retail model. Th...
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Dong Lin, Yuhuan Bu, Changyou Xiang, Chang Lu, Huajie Liu and Shenglai Guo
The decomposition of hydrates can cause serious sand production and collapse problems, hindering the long-term effective production of hydrates. This study proposes a theory for framework reconstruction and reinforcement for deep-water hydrate layers bas...
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