... shallow water significant wave height prediction xgboost prediction barent sea application deep learning machine learning forecast forecasting neural network algorithm curve fitting cnn rnn model wave data sarima sarima model Proceedings of the Thirty-second (2022) International Ocean...

... of 2.5 °.With this test we can determine the cross coupled non-linear derivatives. Model set up is shown in Fig. 5. Fig. 5 Model orientation and path for a combined rotation and drift case test Curve fitting method used The curve fitting used for case1 i.e. static drift case and Case2 the rotating arm...

... investigated by means of the potentiodynamic polarization and electrochemical impedance spectroscopy (EIS). The current density and the polarization resistance were measured as a function of immersion time and the various kinetic parameters were determined by the curve fitting to the polarization test results...

... ships and submarines with viscoelastically damped material. Understanding the viscoelastic properties of composite structures is essential for the design and analysis of marine structures. Many investigations on the curve fitting technique for vibration characteristics have been carried out to identify...

...-resultants to satisfy the natural boundary conditions but they magnify the oscillations. Based on existing exact solutions of rectangular plates with simply supported and free edges, it was found that the aforementioned problem can be remedied by a post-processing step involving the curve fitting...

... ABSTRACT Pearson - Type 3 Distribution has three parameters (mean Х, variation coefficient Cv and skewness Cs) which is full of elasticity in curve fitting, so it is stipulated as the distributional pattern in wave statistics in China. Aiming at the problem that there are too large calculated...