Machine learning and applications in ultrafast photonics
Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …
where machine-learning algorithms are being matched to optical systems to add new …
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention
N Shah, N Bhagat, M Shah - … Computing for Industry, Biomedicine, and Art, 2021 - Springer
A crime is a deliberate act that can cause physical or psychological harm, as well as
property damage or loss, and can lead to punishment by a state or other authority according …
property damage or loss, and can lead to punishment by a state or other authority according …
Machine learning techniques for 5G and beyond
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …
entertainment, business, commercial, health and safety applications. These systems keep …
The role of digital twin in optical communication: fault management, hardware configuration, and transmission simulation
D Wang, Z Zhang, M Zhang, M Fu, J Li… - IEEE …, 2021 - ieeexplore.ieee.org
Optical communication is developing rapidly in the directions of hardware resource
diversification, transmission system flexibility, and network function virtualization. Its …
diversification, transmission system flexibility, and network function virtualization. Its …
Machine learning techniques for quality of transmission estimation in optical networks
Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …
(ML) has recently been the focus of a large body of research. We discuss the sources of …
Advanced convolutional neural networks for nonlinearity mitigation in long-haul WDM transmission systems
Practical implementation of digital signal processing for mitigation of transmission
impairments in optical communication systems requires reduction of the complexity of the …
impairments in optical communication systems requires reduction of the complexity of the …
Machine learning for optical fiber communication systems: An introduction and overview
Optical networks generate a vast amount of diagnostic, control, and performance monitoring
data. When information is extracted from these data, reconfigurable network elements and …
data. When information is extracted from these data, reconfigurable network elements and …
A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent
In recent years, the extensive application of machine learning technologies has been
witnessed in various fields. However, in many applications, massive data are distributively …
witnessed in various fields. However, in many applications, massive data are distributively …
Machine learning regression for QoT estimation of unestablished lightpaths
Estimating the quality of transmission (QoT) of a candidate lightpath prior to its establishment
is of pivotal importance for effective decision making in resource allocation for optical …
is of pivotal importance for effective decision making in resource allocation for optical …
A survey on traffic prediction techniques using artificial intelligence for communication networks
A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …
networks in order to enhance network performance. Communication networks, both wired …