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Xueting Ma, Congying Wang, Huaping Luo and Ganggang Guo
To enhance the accuracy of multispectral detection using unmanned aerial vehicles (UAVs), multispectral data of jujube fruit with different soluble solids content (SSC) and moisture content (MC) were obtained under different relative azimuth angles. Pred...
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Haitong Xu and C. Guedes Soares
A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the acc...
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Leian Zhang, Junwu Wang, Han Wu, Mengwei Wu, Jingyi Guo and Shengmin Wang
Subway station projects are characterized by complex construction technology, complex site conditions, and being easily influenced by the surrounding environment; thus, construction safety accidents occur frequently. In order to improve the computing per...
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Yi Hu, Lifei Song, Zuyuan Liu and Jianxi Yao
Nowadays, system-based simulation is one of the main methods for ship manoeuvring prediction. Great efforts are usually devoted to the determination of hydrodynamic derivatives as required for the mathematical models used for such methods. System identif...
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Shigeo Abe
Minimal complexity machines (MCMs) minimize the VC (Vapnik-Chervonenkis) dimension to obtain high generalization abilities. However, because the regularization term is not included in the objective function, the solution is not unique. In this paper, to ...
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Nuray Gedik
In coastal engineering, empirical formulas grounded on experimental works regarding the stability of breakwaters have been developed. In recent years, soft computing tools such as artificial neural networks and fuzzy models have started to be employed to...
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Syed Waqas Haider Shah, Khalid Iqbal and Ahmad Talal Riaz
The Internet-of-Things (IoT) is a paradigm shift from slow and manual approaches to fast and automated systems. It has been deployed for various use-cases and applications in recent times. There are many aspects of IoT that can be used for the assistance...
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Yongjun Zhang, Chengguo Wang, Liu Yan, Daoliang Li and Xiaoshuan Zhang
Accurate prediction of forthcoming oxygen concentration during waterless live fish transportation plays a key role in reducing the abnormal occurrence, increasing the survival rate in delivery operations, and optimizing manufacturing costs. The most effe...
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Milo? Bo?ic, Milo? Stojanovic, Zoran Stajic and Dragan Tasic
In the deregulated energy market, the accuracy of load forecasting has a significant effect on the planning and operational decision making of utility companies. Electric load is a random non-stationary process influenced by a number of factors which mak...
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