Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …
Computational complexity evaluation of neural network applications in signal processing
In this paper, we provide a systematic approach for assessing and comparing the
computational complexity of neural network layers in digital signal processing. We provide …
computational complexity of neural network layers in digital signal processing. We provide …
MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
A Pimpalkar - Expert Systems with Applications, 2022 - Elsevier
The fast improvement and transformation of online media and unique sites with critical
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
Neural networks-based equalizers for coherent optical transmission: Caveats and pitfalls
This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …
design caveats related to the development of efficient neural networks (NN) based nonlinear …
Adaptive Bayesian neural networks nonlinear equalizer in a 300-Gbit/s PAM8 transmission for IM/DD OAM mode division multiplexing
S Zhou, X Liu, R Gao, Z Jiang, H Zhang, X Xin - Optics Letters, 2023 - opg.optica.org
The strong stochastic nonlinear impairment induced by random mode coupling appears to
be a long-standing performance-limiting problem in the orbital angular momentum (OAM) …
be a long-standing performance-limiting problem in the orbital angular momentum (OAM) …
Transfer learning for neural networks-based equalizers in coherent optical systems
In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
Rumor detection in social network based on user, content and lexical features
Emergence in the social network leads to the extensive and faster diffusion of news than
conventional news channels. Verification of data is challenging due to massive information …
conventional news channels. Verification of data is challenging due to massive information …
Photonic neuromorphic technologies in optical communications
A Argyris - Nanophotonics, 2022 - degruyter.com
Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …
solving in many applications. Such approaches found fertile ground in optical …
Detecting changes in perceptions towards smart city on Chinese social media: A text mining and sentiment analysis
Examining the public's attention and comments on smart city topics in social media can help
enable a full understanding of the development characteristics of smart cities, and provide a …
enable a full understanding of the development characteristics of smart cities, and provide a …