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Jianying Wei, Yuming Liu, Xiaochun Lu, Yu Feng and Yadi Wang
Tunnel construction projects are a classic type of repetitive project, and hold a crucial position in the construction industry. The linear scheduling method (LSM) has been in the spotlight in scheduling optimization for repetitive construction projects ...
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Jing Luo, Yuhang Zhang, Jiayuan Zhuang and Yumin Su
The development of intelligent task allocation and path planning algorithms for unmanned surface vehicles (USVs) is gaining significant interest, particularly in supporting complex ocean operations. This paper proposes an intelligent hybrid algorithm tha...
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Gui Ren and Tao Meng
This paper proposes two data-driven models (including LSTM pricing model, WGAN pricing model) and an improved model of LSM based on GAN to analyze the pricing of convertible bonds. In addition, the LSM model with higher precision in traditional pricing m...
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Zhu Liang, Weiping Peng, Wei Liu, Houzan Huang, Jiaming Huang, Kangming Lou, Guochao Liu and Kaihua Jiang
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step...
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Ze Yu, Chuxin Wang, Yuanyuan Zhao, Zhiyuan Hu and Yuanjie Tang
The linear scheduling method (LSM) for optimization in linear projects has been the focus of numerous academic studies over the years. However, research on incorporating reverse construction activities and other practical scenarios, such as flexible acti...
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Lalit Kumar and Mohammad Saud Afzal
The present study employs numerical simulations to investigate vertical wall abutment scour with different aspect ratios (B/L, where B is the abutment length in the flow direction, and L is the abutment length transverse to the flow direction) under the ...
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Emil Oynakov, Liliya Dimitrova, Lyubka Pashova and Dragomir Dragomirov
Although tsunamis in the Black Sea are rare and less destructive, recently, their study has been the subject of interest due to the increasing concentration of population and infrastructure in low-lying coastal areas. This study aims to elucidate the spa...
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Zelang Miao, Renfeng Peng, Wei Wang, Qirong Li, Shuai Chen, Anshu Zhang, Minghui Pu, Ke Li, Qinqin Liu and Changhao Hu
Earthquakes induce landslides worldwide every year that may cause massive fatalities and financial losses. Precise and timely landslide susceptibility mapping (LSM) is significant for landslide hazard assessment and mitigation in earthquake-affected area...
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Junjun He and Huahui Chen
An LSM-tree (log-structured merge-tree) is a hierarchical, orderly and disk-oriented data storage structure which makes full use of the characteristics of disk sequential writing, which are much better than those of random writing. However, an LSM-tree c...
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Pengyuan Zeng, Xuan Song, Huan Yang, Ning Wei and Liping Du
Digital soil mapping has emerged as a new method to describe the spatial distribution of soils economically and efficiently. In this study, a lightweight soil organic matter (SOM) mapping method based on a deep residual network, which we call LSM-ResNet,...
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