… short-term memory (LSTM) neural network architectures for the compensation of fiber
nonlinearities … The numerical results show that LSTM Neural Networks can be very efficient as post …

… in fiber optics is extremely crucial to ensure the optical network’s survivability and reliability.
Any service outage due to a fiber break results in massive data loss, network … caused by fiber-…

… short-term memory network (Bi-LSTM) was numerically studied for the mitigation of fiber …
In this paper, we propose a novel center-oriented long shortterm memory network (Co-LSTM…

… In this paper, we present a deep network called Long Short-Term Memory (LSTM) for the
wavelength detection of spectrally overlapping FBG sensor network. LSTM, proposed by …

… a physical layer and is compatible with the existing optical networks. At present, to realize
long-… In this Letter, we introduce long short-term memory (LSTM) networks to learn a nonlinear …

… results of the present study suggest that the use of short fiber composite (FC) with fiber length
exceeding critical fiber length could offers an alternative approach in framework design of …

… The presented LSTM network only requires the initial signal power distribution as the input …
at whole fiber distance is iteratively realized in a feedback loop. Firstly, we train the network in …

Three distinct techniques exist for distributing an ultrastable frequency reference over
optical fibers. For the distribution of a microwave frequency reference, an amplitude-modulated …

… An effective constitutive relation for fiber network is developed by averaging the strain …
A fiber network is a porous structure with fiber volume fraction depending on a specific fiber …

… for characterizing fiber … for fiber networks, has not been conducted. In this study, we
constructed 40 two-dimensional test images composed of simulated fiber networks varying in fiber …