281   Artículos

 
en línea
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... ver más
Revista: Water    Formato: Electrónico

 
en línea
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... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
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... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
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... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
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... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
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... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zhi-Lin Chen and Kang-Ming Chang    
This study investigated the influence of saccadic eye movements and emotions on real and animated faces to enhance a detailed perception of facial information. Considering the cross-cultural differences in facial features, animated faces also influence v... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
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... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
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... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
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... ver más
Revista: Applied Sciences    Formato: Electrónico

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