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Gianluca Angelini, Sara Muggiasca and Marco Belloli
In the last twenty years, the global shipping transport demand has strongly increased (around 4% per year since the 1990s), together with the request for new green propulsion technologies to break down carbon emissions and face the costs deriving from th...
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Artem T. Turov, Fedor L. Barkov, Yuri A. Konstantinov, Dmitry A. Korobko, Cesar A. Lopez-Mercado and Andrei A. Fotiadi
This work studies the application of low-cost noise reduction algorithms for the data processing of distributed acoustic sensors (DAS). It presents an improvement of the previously described methodology using the activation function of neurons, which enh...
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Hermenegildo Gomes, Francisco Navio, Pedro D. Gaspar, Vasco N. G. J. Soares and João M. L. P. Caldeira
In recent years, radio-frequency identification (RFID) has aroused significant interest from industry and academia. This demand comes from the technology?s evolution, marked by a reduction in size, cost, and enhanced efficiency, making it increasingly ac...
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Tian Nan and Wengeng Cao
Evaluating the effect of ecological water supplement on groundwater restoration quantitatively could produce positive contributions to both water cycle theory and surface?groundwater conjunctive management. Therefore, in this paper, a groundwater flow nu...
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Mei-Yan Zhuo, Jinn-Chyi Chen, Ren-Ling Zhang, Yan-Kun Zhan and Wen-Sun Huang
In this study, a seepage prediction model was established for roller-compacted concrete dams using support vector regression (SVR) with hybrid parameter optimization (HPO). The model includes data processing via HPO and machine learning through SVR. HPO ...
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