Results 21 to 30 of about 7,242,720 (244)
Light intensity optimization of optical fiber stress sensor based on SSA-LSTM model
Frontiers in Energy Research, 2022 In order to further improve the measurement range and accuracy of optical fiber stress sensor based on the interference between rising vortex beam and plane wave beam, a new stress demodulation model is designed.
Dakuan Yu, Xueguang Qiao, Xiangyu Wang
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IEEE Access, 2018 The patient with ischemic stroke can benefit most from the earliest possible definitive diagnosis. While a quantitative evaluation of the stroke lesions on the magnetic resonance images (MRIs) is effective in clinical diagnosis, manually segmenting the ...
Zhiyang Liu +5 more
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Wavelet—Artificial Neural Network Receiver for Indoor Optical Wireless Communications [PDF]
, 2011 The multipath induced intersymbol interference (ISI) and fluorescent light interference (FLI) are the two most important system impairments that affect the performance of indoor optical wireless communication (OWC) systems.
Ghassemlooy, Zabih +5 more
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CoRR, 2018 We develop a novel optical neural network (ONN) framework which introduces a degree of scalar invariance to image classification estima- tion. Taking a hint from the human eye, which has higher resolution near the center of the retina, images are broken out into multiple levels of varying zoom based on a focal point.
Grant Fennessy, Yevgeniy Vorobeychik
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Bit error performance of diffuse indoor optical wireless channel pulse position modulation system employing artificial neural networks for channel equalisation [PDF]
, 2009 The bit-error rate (BER) performance of a pulse position modulation (PPM) scheme for non-line-of-sight indoor optical links employing channel equalisation based on the artificial neural network (ANN) is reported.
Ghassemlooy, Zabih +2 more
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Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks [PDF]
IEEE Journal of Selected Topics in Quantum Electronics, 2020 Optical machine learning offers advantages in terms of power efficiency, scalability and computation speed. Recently, an optical machine learning method based on Diffractive Deep Neural Networks (D2NNs) has been introduced to execute a function as the input light diffracts through passive layers, designed by deep learning using a computer.
Deniz Mengu +3 more
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An optical neural chip for implementing complex-valued neural network
Nature Communications, 2021 Most demonstrations of optical neural networks for computing have been so far limited to real-valued frameworks. Here, the authors implement complex-valued operations in an optical neural chip that integrates input preparation, weight multiplication and ...
H. Zhang +17 more
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Effective denoising and adaptive equalization of indoor optical wireless channel with artificial light using the discrete wavelet transform and artificial neural network [PDF]
, 2009 Indoor diffuse optical wireless (OW) communication systems performance is limited due to a number of effects; interference from natural and artificial light sources and multipath induced intersymbol interference (ISI). Artificial light interference (ALI)
Ghassemlooy, Zabih +2 more
core +1 more source
SPIE Proceedings, 1994 The trade-off between the number of neurons that can be implemented with a single correlator and the shift invariance that each neuron has is investigated. A new type of correlator implemented with a planar hologram is described whose shift invariance can be controlled by setting the position of the hologram properly.
Psaltis, Demetri, Levene, Michael
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Optical Machine Learning Using Time-Lens Deep Neural NetWorks
, 2021 As a high-throughput data analysis technique, photon time stretching (PTS) is widely used in the monitoring of rare events such as cancer cells, rough waves, and the study of electronic and optical transient dynamics.
Caiyun Li +10 more
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