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Bowen Xing, Xiao Wang and Zhenchong Liu
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the...
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Wenbin Ma, Kairui Zhang, Yanlian Du, Xiangwei Liu and Yijun Shen
With technological improvement such as ore exploration, robotics, and hydrodynamic lifting, deep-sea mining has attracted more attention from governments, companies, and scientific research institutions. Although its research and development has made gre...
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Ingo Jost, Joao Francisco Valiati
Pág. 91 - 102
Deep Learning has been successfully applied in hard to solve areas, such as image recognition and audioclassification. However, Deep Learning has not yet reached the same performance when employed in textual data,including Opinion Mining. In models that ...
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Ruoyan Shi, Jianpeng Hu and Bo Lin
Automatic program repair techniques based on deep neural networks have attracted widespread attention from researchers due to the high degree of automation and generality. However, there is a scarcity of high-quality labeled datasets available for traini...
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Xiaolong Li, Yun Zhang, Longgang Xiang and Tao Wu
Lane-level road information is especially crucial now that high-precision navigation maps are in more demand. Road information may be obtained rapidly and affordably by mining floating vehicle data (FCD). A method is proposed to extract the number of lan...
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Changyu Lu, Jianmin Yang, Bernt Johan Leira, Qihang Chen and Shulin Wang
Three-dimensional path planning is instrumental in path decision making and obstacle avoidance for deep-sea mining vehicles (DSMV). However, conventional particle swarm algorithms have been prone to trapping in local optima and have slow convergence rate...
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Dong Lin, Yuhuan Bu, Changyou Xiang, Chang Lu, Huajie Liu and Shenglai Guo
The decomposition of hydrates can cause serious sand production and collapse problems, hindering the long-term effective production of hydrates. This study proposes a theory for framework reconstruction and reinforcement for deep-water hydrate layers bas...
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Yu Dai, Cong Xue and Qiao Su
The capability of path tracking largely determines the operational efficiency of deep-sea mining vehicles. In this paper, the relationships of vehicle?sediment mechanical interaction were obtained by sinkage and shear tests. Then, an overset grid method ...
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Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski and Eftim Zdravevski
With the exponential growth of data, extracting actionable insights becomes resource-intensive. In many organizations, normalized relational databases store a significant portion of this data, where tables are interconnected through some relations. This ...
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Tehseen Mazhar, Hafiz Muhammad Irfan, Sunawar Khan, Inayatul Haq, Inam Ullah, Muhammad Iqbal and Habib Hamam
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the most challenging things to stop. The biggest problem is caused by milli...
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Maozhen Xia, Haining Lu, Jianmin Yang and Pengfei Sun
Deep-sea mining vehicles (DSMVs) are highly prone to sinking and slippage when traveling on extremely soft seafloor sediments. In addition, DSMVs can be vulnerable to dangerous situations such as overturning due to the non-homogeneous characteristic of t...
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Shihang Liu, Jianmin Yang, Haining Lu, Pengfei Sun and Bei Zhang
The discharge of sediment plumes, which occurs mainly in the two depth zones, has a critical impact on assessing the deep-sea environment. Therefore, it is necessary to establish the corresponding physical oceanography for the evolution of these sediment...
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Abha Pragati, Debadatta Amaresh Gadanayak, Tanmoy Parida and Manohar Mishra
Considering the advantage of the ability of data-mining techniques (DMTs) to detect and classify patterns, this paper explores their applicability for the protection of voltage source converter-based high voltage direct current (VSC-HVDC) transmission sy...
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Liao He, Qingfeng Li and Baifu An
Geological hazards, such as the frequent occurrence of rock bursts in deep mining, emphasize the critical necessity for the early warning and prediction of dynamic fractures in coal and rock masses, as well as the destabilization of the surrounding rock....
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Tao Qin, Binyang Duan, Yanwei Duan, Yaozu Ni, Xiangang Hou, Pingyun Ma and Yue Yang
After coal mining enters the deep, the mining environment changes dramatically, and engineering disasters become increasingly prominent, which are mostly related to rock instability and failure. As traditional support is difficult to meet production need...
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María J. Verdú, Luisa M. Regueras, Juan P. de Castro and Elena Verdú
Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers? instructing styles from their course designs would allow recommendations and best pr...
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Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Qingcai Gao, Kunpeng Cao and Jianhui Chen
With the rapid development of the internet and social media, extracting emergency events from online news reports has become an urgent need for public safety. However, current studies on the text mining of emergency information mainly focus on text class...
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Shunjun Hong and Xiaozhou Hu
A key piece of equipment in deep-sea mineral particle transportation systems, the deep-sea mining pump can be affected by factors such as different mineral particle parameters as well as its operating conditions. In this study, the influence of different...
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Qiong Hu, Xiaoyu Zhai and Zhenfu Li
In order to improve the hydraulic performance of a deep-sea mining pump, this research proposed a multi-objective optimization strategy based on the computational fluid dynamics (CFD) numerical simulation, genetic algorithm back propagation (GABP) neural...
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Jiahao Shi, Jie Yu, Jinkun Yang, Lingyu Xu and Huan Xu
The prediction of marine elements has become increasingly important in the field of marine research. However, time series data in a complex environment vary significantly because they are composed of dynamic changes with multiple mechanisms, causes, and ...
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