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Naseer Muhammad Khan, Liqiang Ma, Muhammad Zaka Emad, Tariq Feroze, Qiangqiang Gao, Saad S. Alarifi, Li Sun, Sajjad Hussain and Hui Wang
The brittleness index is one of the most integral parameters used in assessing rock bursts and catastrophic rock failures resulting from deep underground mining activities. Accurately predicting this parameter is crucial for effectively monitoring rock b...
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Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ...
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Michalis K. Chondros, Anastasios S. Metallinos and Andreas G. Papadimitriou
Ensuring sea surface tranquility within port basins is of paramount importance for safe and efficient port operations and vessels? accommodation. The present study aims to introduce a robust numerical model based on mild-slope equations, capable of accur...
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Myungsung Koo and Inyeong Kwon
Gizzard shads are facing a continual decline in population, necessitating the implementation of selective gear design for effective resource management. This study aims to prevent the bycatch of young gizzard shads, a non-target fish species, and to deri...
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Nguyen Trung Tuan, Philip Moore, Dat Ha Vu Thanh and Hai Van Pham
ChatGPT plays significant roles in the third decade of the 21st Century. Smart cities applications can be integrated with ChatGPT in various fields. This research proposes an approach for developing large language models using generative artificial intel...
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