Results 51 to 60 of about 263,497 (176)
IEEE Photonics Journal, 2023 An artificial intelligent neural network improved particle swarm optimization algorithm is proposed for the inverse design of semiconductor optical amplifier.
Ting Zhao +6 more
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Large-Scale Optical Neural Networks based on Photoelectric Multiplication
, 2019 Recent success in deep neural networks has generated strong interest in hardware accelerators to improve speed and energy consumption. This paper presents a new type of photonic accelerator based on coherent detection that is scalable to large ($N ...
Bernstein, Liane +4 more
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Sensors, 2022 The diffractive deep neural network (D2NN) can efficiently accomplish 2D object recognition based on rapid optical manipulation. Moreover, the multiple-view D2NN array (MDA) possesses the obvious advantage of being able to effectively achieve 3D object ...
Liang Zhou, Jiashuo Shi, Xinyu Zhang
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, 2019 We present a semi-blind, spatially-variant deconvolution technique aimed at optical microscopy that combines a local estimation step of the point spread function (PSF) and deconvolution using a spatially variant, regularized Richardson-Lucy algorithm. To
Liebling, Michael, Shajkofci, Adrian
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Optical neural networks: an introduction to a special issue by the feature editors [PDF]
, 1993 This feature of Applied Optics is devoted to papers on the optical implementation of neural-network models of computation. Papers are included on optoelectronic neuron array devices, optical interconnection techniques using holograms and spatial light ...
Psaltis, Demetri, Wagner, Kelvin
core
A Single Layer Neural Network Implemented by a
IEEE Photonics Journal, 2019 Implementing any linear transformation matrix through the optical channels of an on-chip reconfigurable multiport interferometer has been emerging as a promising technique for various fields of study, such as information processing and optical ...
Farhad Shokraneh +3 more
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Measurement + Control, 2023 Aiming at researching on health monitoring of composite materials, a static load position identification method for optical-fiber composite structures based on the Particle Swarm Optimization-Back Propagation (PSO-BP) neural network algorithm is proposed.
LB Shen, LP Tian
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Occlusion Aware Unsupervised Learning of Optical Flow
, 2018 It has been recently shown that a convolutional neural network can learn optical flow estimation with unsupervised learning. However, the performance of the unsupervised methods still has a relatively large gap compared to its supervised counterpart ...
Wang, Peng +5 more
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Optical neural stimulation modeling on degenerative neocortical neural networks [PDF]
SPIE Proceedings, 2015 This work has been partially supported by the project MAT2012-38664-C02-01 of the Spanish Ministry of Economy and Competitiveness, and by San Cándido Foundation.
Zverev, Mihail +3 more
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Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy
, 2018 With super-resolution optical microscopy, it is now possible to observe molecular interactions in living cells. The obtained images have a very high spatial precision but their overall quality can vary a lot depending on the structure of interest and the
De Koninck, Paul +5 more
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