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MDPI AG
Hybrid LSTM Model to Predict the Level of Air Pollution in Montenegro
Air pollution is a critical environmental concern that poses significant health risks and affects multiple aspects of human life. ML algorithms provide promising results for air pollution prediction. In the existing scientific literature, Long Short-Term Memory (LSTM) predictive models, as well as their combination with other statistical and machine learning approaches, have been utilized for air pollution prediction. However, these combined algorithms may not always provide suitable results due...
Preuzmite dokument 2023 Natasa Kovac , Kruna Ratković , Marko Simeunović
Association for Promotion and Development of Maritime Industries
The Analyses of the Rate of Pitting Corrosion of a NiTi Rod in a Natural Marine Environment
The analysis of the behaviour of new materials in the natural environment is important for their application and commercial use. In order to explore the application of Shape Memory Alloys in the Maritime industry, this research focuses on the corrosive behaviour of the NiTi rod that was produced by means of a continuous casting process. The experiment included three samples of NiTi rods that were exposed to the marine environment for 6, 12 and 18 months at a depth of 3 metres below the surface....
Preuzmite dokument 2022 Peter Majerič , Špiro Ivošević , Natasa Kovac , Rebeka Rudolf , Gyöngyi Vastag
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