Results 21 to 30 of about 7,604,757 (293)

Deep learning-based inverse design of microstructured materials for optical optimization and thermal radiation control

Scientific Reports, 2023
Microstructures with engineered properties are critical to thermal management in aerospace and space applications. Due to the overwhelming number of microstructure design variables, traditional approaches to material optimization can have time-consuming ...
Jonathan Sullivan, Arman Mirhashemi, Jaeho Lee   +2 more
doaj   +1 more source

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
doaj   +1 more source

Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multi-Spectral MR Image Using Convolutional Neural Network

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, Chen Cao, Shuxue Ding, Zhiang Liu, Tong Han, Sheng Liu   +5 more
doaj   +1 more source

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, M. Angelova, Z. Ghassemlooy, Angelova, Maia, Rajbhandari, Sujan, S. Rajbhandari   +5 more
core   +1 more source

Optical Neural Networks

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
openaire   +2 more sources

Neural network‐based optical flow versus traditional optical flow techniques with thermal aerial imaging in real‐world settings

, 2023
The study explores the feasibility of optical flow-based neural network from real-world thermal aerial imagery. While traditional optical flow techniques have shown adequate performance, sparse techniques do not work well during cold-soaked low-contrast ...
Tran Xuan Bach Nguyen, Moss, P., Philip Moss, Asanka Perera, Chahl, J., Javaan Chahl, Perera, A., Kent Rosser, Rosser, K., Nguyen, T.X.B., Perera, Asanka, Chahl, Javaan, Moss, Philip, Nguyen, Tran Xuan Bach, Rosser, Kent   +14 more
core   +1 more source

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, Angelova, Maia, Rajbhandari, Sujan   +2 more
core   +1 more source

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, M. Gu, X. D. Jiang, J. Thompson, H. Cai, S. Paesani, R. Santagati, A. Laing, Y. Zhang, M. H. Yung, Y. Z. Shi, F. K. Muhammad, G. Q. Lo, X. S. Luo, B. Dong, D. L. Kwong, L. C. Kwek, A. Q. Liu   +17 more
doaj   +1 more source

Optical neural networks [PDF]

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
openaire   +2 more sources

Nonlinear All-Optical Diffractive Deep Neural Network with 10.6 μm Wavelength for Image Classification

International Journal of Optics, 2021
A photonic artificial intelligence chip is based on an optical neural network (ONN), low power consumption, low delay, and strong antiinterference ability.
Yichen Sun, Mingli Dong, Mingxin Yu, Jiabin Xia, Xu Zhang, Yuchen Bai, Lidan Lu, Lianqing Zhu   +7 more
doaj   +1 more source