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Lixin Wang, Wenlei Sun, Jintao Zhao, Xuedong Zhang, Cheng Lu and Hao Luo
As a critical raw material for the textile industry, cotton lint provides various types of cotton yarns, fabrics and finished products. However, due to the complexity of the supply chain and its many links, information records are often missing, inaccura...
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Jiashuo Yu, Hanbin Xiao, Feiyue Sun, Likang Yan and Min Liu
In the port domain, quayside container cranes are an indispensable component of maritime freight transport. These cranes are not only costly but also associated with safety accidents that often result in casualties and property loss, severely impacting p...
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Vishnupriya Jonnalagadda, Ji Yun Lee, Jie Zhao and Seyed Hooman Ghasemi
The nation?s transportation systems are complex and are some of the highest valued and largest public assets in the United States. As a result of repeated natural hazards and their significant impact on transportation functionality and the socioeconomic ...
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Arman Kakaie, C. Guedes Soares, Ahmad Kamal Ariffin and Wonsiri Punurai
A fracture mechanics-based fatigue reliability analysis of a submarine pipeline is investigated using the Bayesian approach. The proposed framework enables the estimation of the reliability level of submarine pipelines based on limited experimental data....
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Chun-Myoung Noh, Jun-Gyo Jang, Sung-Soo Kim, Soon-Sup Lee, Sung-Chul Shin and Jae-Chul Lee
With increasing interest in smart factories, considerable attention has been paid to the development of deep-learning-based quality inspection systems. Deep-learning-based quality inspection helps productivity improvements by solving the limitations of e...
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