… agile and adaptive management solutions in … networking calls for automated decisions for
management actions. This can be realized through a set of pre-defined network management …

… (NG) SON and of smart network management policies is crucial and inevitable for operators
… We believe that Machine Learning (ML) can be effectively used to allow the network to learn …

… We provide an overview of the ML techniques suitable for adoption in network management,
as well as current NS and ZSM standards, architectures, and models. We also aim to …

… machine learning concepts tailored to the optical networking industry and discuss algorithm
choices, data and model management … network management and control tools with adaptive …

… Machine learning (ML) promises to revolutionize the (mostly manual and human-driven)
approaches in which failure management in … of the optical-network failure management. It then …

… The developed ELM has a superior prediction accuracy relative to other available
machine learning algorithms such as feed-forward artificial neural network that is trained by …

… Thus, cognitive and automated security management functionalities are needed, fueled
by the proliferating machine learning (ML) techniques and compatible with common network …

… Machine Learning (ML) has been enjoying an … arising in network operation and management.
There are various surveys on ML for specific areas in networking or for specific network …

… In this article, we focus on the problems of resource management in network slicing, …
machine learning and artificial intelligence are applied to assist the resource management …

… Since mobility incurs extra control information to be exchanged among the network
management entities, resource management in IoMT and MIoT is more challenging than the …