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Mirko Dinulovic, Aleksandar Benign and Bo?ko Ra?uo
In the present work, the potential application of machine learning techniques in the flutter prediction of composite materials missile fins is investigated. The flutter velocity data set required for different fin aerodynamic geometries and materials is ...
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Jenica-Ileana Corcau, Liviu Dinca, Grigore Cican, Adriana Ionescu, Mihai Negru, Radu Bogateanu and Andra-Adelina Cucu
The increase in greenhouse gas emissions, as well as the risk of fossil fuel depletion, has prompted a transition to electric transportation. The European Union aims to substantially reduce pollutant emissions by 2035 through the use of renewable energie...
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Ligang Yuan, Jing Liu, Haiyan Chen, Daoming Fang and Wenlu Chen
Scene taxiing time is an important indicator for assessing the operational efficiency of airports as well as green airports, and it is also a fundamental parameter in flight regularity statistics. The accurate prediction of taxiing time can help decision...
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Junwei Lang, Zhenjia Zeng, Tengfei Ma and Sailing He
Sudden air pollution accidents (explosions, fires, leaks, etc.) in chemical industry parks may result in great harm to people?s lives, property, and the ecological environment. A gas tracking network can monitor hazardous gas diffusion using traceability...
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Ali Mirzazade, Cosmin Popescu and Björn Täljsten
The aim of this study was to find strains in embedded reinforcement by monitoring surface deformations. Compared with analytical methods, application of the machine learning regression technique imparts a noteworthy reduction in modeling complexity cause...
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