Results 41 to 50 of about 263,497 (176)

Deep learning based analysis of microstructured materials for thermal radiation control

open access: yesScientific Reports, 2022
Microstructured materials that can selectively control the optical properties are crucial for the development of thermal management systems in aerospace and space applications.
Jonathan Sullivan   +2 more
doaj   +1 more source

Magneto-optical diffractive deep neural network

open access: yesOptics Express, 2022
We propose a magneto-optical diffractive deep neural network (MO-D2NN). We simulated several MO-D2NNs, each of which consists of five hidden layers made of a magnetic material that contains 100 × 100 magnetic domains with a domain width of 1 µm and an interlayer distance of 0.7 mm.
Takumi Fujita   +6 more
openaire   +2 more sources

Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material

open access: yesIEEE Photonics Journal
Optical diffractive neural networks have sparked extensive research due to their low power consumption and high-speed capabilities in image processing.
Qiaomu Hu   +6 more
doaj   +1 more source

Multi-Functional Optical Spectrum Analysis Using Multi-Task Cascaded Neural Networks

open access: yesIEEE Photonics Journal, 2022
In the optical communication systems, the optical spectrum (OS) provides useful informations for optical performance monitoring and optical link diagnosis.
Haoyu Wang   +5 more
doaj   +1 more source

Optical Neural Networks

open access: yes, 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.
Fennessy, Grant, Vorobeychik, Yevgeniy
openaire   +2 more sources

Novel Dynamic Structure Neural Network for Optical Character Recognition [PDF]

open access: yes
[[abstract]]This paper presents a novel dynamic structure neural network (DSNN) and a learning algorithm for training DSNN. The performance of a neural network system depends on several factors.
[[corresponding]]Cheng-Long Chuang   +1 more
core   +1 more source

Optical Neural Network in Free-Space and Nanophotonics

open access: yesIEEE Access, 2023
The explosive data growth has resulted in increased computing costs. As Moore’s Law is increasingly slowing down, the traditional computing approach based on the von Neumann architecture is gradually becoming unable to fulfill future computing ...
Zhenlin Sun   +5 more
doaj   +1 more source

Optical memory disks in optical information processing [PDF]

open access: yes, 1990
We describe the use of optical memory disks as elements in optical information processing architectures. The optical disk is an optical memory devicew ith a storage capacity approaching 1010b its which is naturally suited to parallel access.
Kobayashi, Seiji   +3 more
core  

Disinhibited Revenge – An fNIRS Study on Forgiveness and Cognitive Control

open access: yesFrontiers in Behavioral Neuroscience, 2019
The ability to reconcile is a key factor for a cooperative and successful life. Among the many factors that have an impact on how people negotiate social contracts, poor cognitive control (which is inversely linked to impulsivity) may exert negative ...
Moritz Julian Maier   +9 more
doaj   +1 more source

High-gain AlGaAs/GaAs double heterojunction Darlington phototransistors for optical neural networks [PDF]

open access: yes, 1991
High-gain MOCVD-grown (metal-organic chemical vapor deposition) AlGaAs/GaAs/AlGaAs n-p-n double heterojunction bipolar transistors (DHBTs) and Darlington phototransistor pairs are provided for use in optical neural networks and other optoelectronic ...
Kim, Jae H., Lin, Steven H.
core   +1 more source

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