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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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Cen-Ying Liao, Lin Zhang, Si-Yu Hu, Shuai-Jie Xia and D. M. Li
Empowering materials with self-healing capabilities is an attractive approach for sustainable development. This strategy involves using different methods to automatically heal microcracks and damages that occur during the service life of materials or str...
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Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge...
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Junjie Pan, Xin Lin, Zezhong Wang, Ruoyan Wang, Kun Wu, Jinhu Liang and Xilong Yu
This study investigated combustion characteristics of composite fuel grains designed based on a modular fuel unit strategy. The modular fuel unit comprised a periodical helical structure with nine acrylonitrile?butadiene?styrene helical blades. A paraffi...
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Liang-Sin Huang, Puu-Tai Yang, Yu-An Lu, Wei-Lin Liu, Tsung-Ju Chuang and Shan-Li Wang
This study investigated the uptake of thallium (Tl) by rice seedlings grown in different soils with varying physiochemical properties and Tl levels to elucidate the key factors governing soil Tl availability and accumulation in rice plants. The bioconcen...
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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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Xuejun Yue, Haifeng Li, Qingkui Song, Fanguo Zeng, Jianyu Zheng, Ziyu Ding, Gaobi Kang, Yulin Cai, Yongda Lin, Xiaowan Xu and Chaoran Yu
Existing disease detection models for deep learning-based monitoring and prevention of pepper diseases face challenges in accurately identifying and preventing diseases due to inter-crop occlusion and various complex backgrounds. To address this issue, w...
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Shengnan Ma, Haojie Feng, Yiran Sun, Lin Yu, Chunshuang Tang, Yanqiang Zhao, Liansong Xue, Jinhui Wang, Chunyan Liu, Dawei Xin, Qingshan Chen and Mingliang Yang
Soybean (Glycine max) is an economically important cash crop and food source that serves as a key source of high-quality plant-derived protein and oil. Seed vigor is an important trait that influences the growth and development of soybean plants in an ag...
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Zewen Zhu, Kuai Ye, Xinhua Yu, Zefang Lin, Gangzong Xu, Zhenyou Guo, Shoushan Lu, Biao Nie and Huapeng Chen
The technical condition of bridges has become a crucial issue for organizing the maintenance and repairs in bridge management systems. It is of great practical engineering significance to construct an effective model for predicting the technical conditio...
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Xuanshuo Shi, Zhongfeng Qiu, Yunjian Hu, Dongzhi Zhao, Aibo Zhao, Hui Lin, Yating Zhan, Yu Wang and Yuanzhi Zhang
Remote sensing technology plays a crucial role in the rapid and wide-scale monitoring of water quality, which is of great significance for water pollution prevention and control. In this study, the downstream and nearshore areas of the Huaihe River Basin...
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