Carlos Natalino Da Silva
Carlos arbetar i forskargruppen Optiska nätverk.
Visar 30 publikationer
Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation
Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning
Storage Protection with Connectivity and Processing Restoration for Survivable Cloud Services
A GPU-assisted NFV framework for intrusion detection system
Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers
Design of Programmable Filterless Optical Networks
A Heuristic Approach for the Design of UAV-Based Disaster Relief in Optical Metro Networks
Machine Learning for Optical Network Security Monitoring: A Practical Perspective
Forecasting power load curves from spatial and temporal mobile data
Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case
Network Slicing Automation: Challenges and Benefits
Content placement in 5G‐enabled edge/core datacenter networks resilient to link cut attacks
Machine Learning for Optical Network Security Management
The Optical RL-Gym: an open-source toolkit for applying reinforcement learning in optical networks
Machine Learning for Cognitive Optical Network Security Management
Network-wide localization of optical-layer attacks
Availability-Guaranteed Service Function Chain Provisioning with Optional Shared Backups
Machine Learning Methods for Slice Admission in 5G Networks
One-Shot Learning for Modulation Format Identification in Evolving Optical Networks
Demonstration of Machine-Learning-Assisted Security Monitoring in Optical Networks
Enhancing optical network security with machine learning
Reinforcement Learning for Slicing in a 5G Flexible RAN
Cost Benefits of Centralizing Service Processing in 5G Network Infrastructures
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Visar 4 forskningsprojekt
Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)
Automation of Network edge Infrastructure & Applications with aRtificiAl intelligence, ANIARA
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