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Noemí Merayo

Researcher at University of Valladolid

Publications -  103
Citations -  1104

Noemí Merayo is an academic researcher from University of Valladolid. The author has contributed to research in topics: Dynamic bandwidth allocation & Bandwidth (computing). The author has an hindex of 14, co-authored 89 publications receiving 862 citations. Previous affiliations of Noemí Merayo include ETSI & Telefónica.

Papers
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Journal ArticleDOI

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

TL;DR: A comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks and a summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future.
Journal ArticleDOI

Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

TL;DR: In this paper, a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks is presented, including topics like optical network planning and operation in both transport and access networks.
Journal ArticleDOI

A Cognitive Quality of Transmission Estimator for Core Optical Networks

TL;DR: A cognitive Quality of Transmission estimator for classifying lightpaths into high or low quality categories in impairment-aware wavelength-routed optical networks is proposed, based on Case-Based Reasoning, an artificial intelligence technique which solves new problems by exploiting previous experiences.
Journal ArticleDOI

PID controller based on a self-adaptive neural network to ensure qos bandwidth requirements in passive optical networks

TL;DR: A proportional-integral-derivative (PID) controller integrated with a neural network (NN) is proposed to ensure quality of service (QoS) bandwidth requirements in passive optical networks (PONs) for the first time an approach that implements aNN to tune a PID to deal with QoS in PONs.
Proceedings ArticleDOI

Optimization of the knowledge base of a cognitive quality of transmission estimator for core optical networks

TL;DR: A cognitive Quality of Transmission estimator for classifying lightpaths into high or low quality categories in impairment-aware wavelength-routed optical networks is proposed, based on Case-Based Reasoning, an artificial intelligence technique which solves new problems by exploiting previous experiences.