Here we introduce an end-to-end deep neural network, termed Fourier Imager Network (FIN), to rapidly implement phase recovery and holographic image reconstruction from raw holograms of new types of samples, achieving unprecedented success in external generalization. This framework takes in two or mor...
Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and coherent diffraction imaging to adaptive optics, PR is essential for reconstructing the refractive index distribution or topography of an object and ...
doi: 10.1016/j.oceaneng.2020.107653 CrossRef Google Scholar [64] CHAPMAN D A. The adjustment of fin size to minimize the ship induced pitching motion of a towed fish[J]. Ocean Engineering,1984,11:23-64. doi: 10.1016/0029-8018(84)90022-2 CrossRef Google Scholar [65] GERLER M...
Since the deep learning is now a hot topic in computational mechanics with neural networks and many related studies have been reported recently, we discuss here some features of computational mechanics with deep learning. First, similarity and difference
It was found that individuals of this species could be recognized by the unique shapes of their dorsal fins as well as the shapes and pigment patterns on their saddle patches that were visible when the whales came to the surface. Thus, a combination of both attributes (dorsal fin and saddle...
Nanoparticle movements are also captured using dynamic mesh refinement in CFV in order to accurately predict their behavior. The numerical results are then used for training a deep feed-forward neural network with appropriate boundary conditions (DFNN-BC) to visualize and predict the transient ...
The experiment was done at the commercial-scale Grieg Seafood facility in Adamselv, Lebesby municipality (Finmark, Norway). Atlantic salmon smolts used in this experiment were hatched at the Grieg Seafood hatchery in Adamselv, and smolts were produced in freshwater RAS (FW-RAS) at the same lo...
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Although turtles play a key role in maintaining healthy and balanced environments, these are endangered due to global trade to meet the high demand for food, medicine, and pets in Asia. In addition, imported non-native turtles have been controlled as ali
As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available compute power; however, efforts to continue to scale electronic processors are impeded by the costs of communication, ...