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Taddeo Ssenyonga, Øyvind Frette, Børge Hamre, Knut Stamnes, Dennis Muyimbwa, Nicolausi Ssebiyonga and Jakob J. Stamnes
We present an algorithm for simultaneous retrieval of aerosol and marine parameters in coastal waters. The algorithm is based on a radiative transfer forward model for a coupled atmosphere-ocean system, which is used to train a radial basis function neur...
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Peng Zhang, Teng Zhang and Xin Wang
A new three-dimensional (3D) time-domain panel method is developed to solve the ship hydrodynamic problem and motions. For an advancing ship with a constant forward speed in regular waves, the ship?s hull can be discretized and processed into a number of...
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Zhenwu Wang, Benting Wan and Mengjie Han
The identification of underground geohazards is always a difficult issue in the field of underground public safety. This study proposes an interactive visualization framework for underground geohazard recognition on urban roads, which constructs a whole ...
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Claudia Zoccarato, Laura Gazzola, Massimiliano Ferronato and Pietro Teatini
Geomechanical modelling of the processes associated to the exploitation of subsurface resources, such as land subsidence or triggered/induced seismicity, is a common practice of major interest. The prediction reliability depends on different sources of u...
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Andrew J. Liounis, John A. Christian and Shane B. Robinson
Many scientific and engineering problems benefit from analytic expressions for eigenvalue and eigenvector derivatives with respect to the elements of the parent matrix. While there exists extensive literature on the calculation of these derivatives, whic...
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Chinedu I. Ossai
Understanding the corrosion risk of a pipeline is vital for maintaining health, safety and the environment. This study implemented a data-driven machine learning approach that relied on Principal Component Analysis (PCA), Particle Swarm Optimization (PSO...
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Kunal Banerjee,Evangelos Georganas,Dhiraj D. Kalamkar,Barukh Ziv,Eden Segal,Cristina Anderson,Alexander Heinecke
Pág. 64 - 85
Recurrent neural network (RNN) models have been found to be well suited for processing temporal data. In this work, we present an optimized implementation of vanilla RNN cell and its two popular variants: LSTM and GRU for Intel Xeon architecture. Typical...
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S.S. Kianejad, Jaesuk Lee, Yi Liu and Hossein Enshaei
Accurate calculation of the roll damping moment at resonance condition is essential for roll motion prediction. Because at the resonance condition, the moment of inertia counteracts restoring moment and only the damping moment resists increase in the rol...
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Omar Kebiri, Lara Neureither and Carsten Hartmann
We study linear-quadratic stochastic optimal control problems with bilinear state dependence where the underlying stochastic differential equation (SDE) has multiscale features. We show that, in the same way in which the underlying dynamics can be well a...
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Rogert Sorí, José A. Marengo, Raquel Nieto, Anita Drumond and Luis Gimeno
The Amazon region, in South America, contains the largest rainforest and biodiversity in the world, and plays an important role in the regional and global hydrological cycle. In the present study, we identified the main sources of moisture of two subbasi...
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