… by machines acting more efficiently than humans is Artificial Intelligence. AI systems require
training data to extract the patterns and correlations between the data, and based on that, …

… with networks”. In this paper, we focus on the collaboration between optical networks with …
Therefore, co-automatic optical networks with artificial intelligence (AI) will become the main …

… In this paper, we investigated OPM in FMF-based optical networks by proposing 1D features
(the … 2D IQH features to be considered for OPM in FMF-based coherent optical networks. …

… -forward neural network, convolutional neural network, and diffractive deep optical neural
network (… We also discuss the development of the spiking neural network and on-chip D 2 NN, …

… enhancement and reliability of optical networks [1]. To serve the rapidly increasing number
of Internet service users, the technologies of optical networks are continuously evolving. To …

… applications in a smart and automatic method such administrations of the optical network [1].
Many papers illustrated how to employ artificial intelligence procedures to secure the failing …

… optical networks. In this paper providing a compatible and practical model of ABC algorithm
for RWA in optical networks is the … applications such as fault tolerant optical networks design. …

… for machine learning applied to optical networks, including explainable machine learning,
digital twins, and approaches in which we embed our knowledge into machine learning …

… IN LAST few years, the fast growing development of various artificial intelligence techniques
… the optical networks more intelligent, autonomous, as well as make the optical network re…

… Artificial Neural Networks (ANN), K-nearest Neighbors, and Support Vector Machine (SVM).
Optical networking … , and eventual prediction, of network state parameters for a given set of …