Flood RD (1988) A lee wave model for deep-sea mudwave activity. Deep-Sea Res 35: 973- 983Flood, R. D. (1988), A lee wave model for deep-sea mudwave activity, Deep Sea Res., Part A 35, 973-983.Flood, R.D., 1988. A lee wave model for deep-sea mud wave activity. Deep-...
5.1 Introduction of wave model The introduction of the wave model is an alternative idea, which can provide a new idea for the hydroelastic responses analysis of VLFS in complex environment. The accuracy of calculation can be improved by accurately solving the flow field around the floating structu...
A surface wave model is developed with the intention of coupling it to three-dimensional ocean circulation models. The model is based on a paper by Mellor wherein depth-dependent coupling terms were derived. To be compatible with circulation models and to be numerically economical, this model is...
They also reported the freak wave records on deep water in the Gulf of Mexico. The statistical methods can predict the probability of the appearance of the freak waves (exactly, the averaged number of the possible events during the storm), but can not answer the question, when and where ...
deep learning-driven concept of a pupil model, which reconstructs the pupil’s time course either from photometric and colourimetric or receptor-based stimulus quantities. By merging feed-forward neural networks with a biomechanical differential equation, we predict the temporal pupil light response ...
Under the background of automobile intelligence, cockpit comfort is receiving increasing attention, and intelligent cockpit comfort evaluation is especially important. To study the intelligent cockpit comfort evaluation model, this paper divides the intelligent cockpit comfort influencing factors into four fact...
A model for a moderately deep underwater explosion bubble is developed that integrates the shock wave and oscillation phases of the motion. A hyperacoustic relationship is formulated that relates bubble volume acceleration to far-field pressure profile during the shock-wave phase, thereby providing ini...
Using the techniques of digital photography and pore water pressure transducers, water level fluctuation is controlled, and multi-physical data are thus obtained, including the pore water pressure, earth pressure, surface displacement and deep displacement. The analysis results indicate that: Three ...
A 'Model Benchmark' refers to an open-source benchmark suite used to evaluate deep learning approaches for image classification tasks. It involves comparing various models derived from different architectures on multiple datasets to assess their performance and reproducibility. ...
Machine learning on white mica short-wave infrared (SWIR) spectral data in the Tengjia Au deposit, Jiaodong peninsula (Eastern China): A prospecting indicator for lode gold deposits 2024, Ore Geology Reviews Citation Excerpt : Moreover, the phyllic + pyrite alteration zone is typically larger th...