Carlos Natalino Da Silva
Carlos arbetar i forskargruppen Optiska nätverk.
Visar 98 publikationer
Optimizing telemetry forwarding for distributed failure recovery in packet-optical networks
AI/ML-Based State-of-Polarization Monitoring in Optical Networks: Concepts and Challenges
Deep Learning for Detection of Harmful Events in Real-World, Noisy Optical Fiber Deployments
Hybrid FSO–THz Technologies for 6G Access Networks: A Cost-Availability Trade-off Analysis
Enhancing Operational Security of Human-to-Machine Applications through Concept Drift Detection
Natural Language Interpretability for ML-Based QoT Estimation via Large Language Models
Towards Better QoT Estimation: An ML Architecture with Link-Level Embedding Layers
QoT Estimation with Margin-Driven Transfer Learning in Time-Varying Optical Networks
Optical Network Automation, Programmability, and AI: the Path to 6G Readiness
Optical Networking Gym: an open-source toolkit for resource assignment problems in optical networks
DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
Programmable Filterless Optical Networks: Architecture, Design and Resource Allocation
Explainable Reinforcement Learning: Towards Trustworthy Autonomous Network Operations
Performance tradeoffs of general-purpose digital hardware and application-specific analog hardware
IntentLLM: An AI Chatbot to Create, Find, and Explain Slice Intents in TeraFlowSDN
Towards Efficient Confluent Edge Networks
Joint Fragmentation- and QoT-Aware RBMSA in Dynamic Multi-Band Elastic Optical Networks
Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use Case
AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]
Proactive Relocation for Survivable Cloud Services
Analyzing Ultra-Low Inter-Core Crosstalk Fibers in Band and Space Division Multiplexing EONs
Hyperaccelerated Power Optimization in Multi-Band Elastic Optical Networks
Reinforcement Learning for Power Management in Low-margin Optical Networks
Analysis and Mitigation of Unwanted Biases in ML-based QoT Classification Tasks
ML-Assisted Optimal Power and GSNR Estimation in Multi-band Elastic Optical Networks
Asynchronous Federated Split Learning
Trade-Offs in Implementing Unsupervised Anomaly Detection with TAPI-Based Streaming Telemetry
A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures
Reliable and efficient RAR-based distributed model training in computing power network
TAPI-based Telemetry Streaming in Multi-Domain Optical Transport Network
P5: Event-driven Policy Framework for P4-based Traffic Engineering
Demonstrating the Benefits of Service-Aware Pod Autoscaling with Shared Resources
Machine-Learning-as-a-Service for Optical Network Automation
Cascading-failure-Aware Disaster Recovery in Optical Cloud Networks
Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits
P4-based Telemetry Processing for Fast Soft Failure Recovery in Packet-Optical Networks
Scalable and Efficient Pipeline for ML-based Optical Network Monitoring
DRL-based RMSCA for SDM Networks with Core Switching in Multi-Core Fibres
Optical Network Automation and Programmability for 6G: State-of-the-Art, Vision, and Challenges
Proactive Spectrum Defragmentation Leveraging Spectrum Occupancy State Information
Benefits of Pod dimensioning with best-effort resources in bare metal cloud native deployments
A Flexible and Scalable ML-Based Diagnosis Module for Optical Networks: A Security Use Case
Root Cause Analysis for Autonomous Optical Network Security Management
Machine learning for network security management, attacks, and intrusions detection
Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
Feedforward Neural Network-Based EVM Estimation: Impairment Tolerance in Coherent Optical Systems
DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation
Deep Learning Assisted Pre-Carrier Phase Recovery EVM Estimation for Coherent Transmission Systems
Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation
Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning
Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers
Storage Protection with Connectivity and Processing Restoration for Survivable Cloud Services
A GPU-assisted NFV framework for intrusion detection system
Autonomous Security Management in Optical Networks
Network automation: challenges, enablers, and benefits
Machine Learning for Optical Network Security Management
The Optical RL-Gym: an open-source toolkit for applying reinforcement learning in optical networks
Structural Methods to Improve the Robustness of Anycast Communications to Large-Scale Failures
Machine Learning for Cognitive Optical Network Security Management
Availability-Guaranteed Service Function Chain Provisioning with Optional Shared Backups
Forecasting power load curves from spatial and temporal mobile data
Network Slicing Automation: Challenges and Benefits
Design of Programmable Filterless Optical Networks
Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case
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
Content placement in 5G‐enabled edge/core datacenter networks resilient to link cut attacks
Network-wide localization of optical-layer attacks
Functional Metrics to Evaluate Network Vulnerability to Disasters
Enhancing optical network security with machine learning
Reinforcement Learning for Slicing in a 5G Flexible RAN
Infrastructure upgrade framework for content delivery networks robust to targeted attacks
Demonstration of Machine-Learning-Assisted Security Monitoring in Optical Networks
Energy- and fatigue-aware RWA in optical backbone networks
Cost Benefits of Centralizing Service Processing in 5G Network Infrastructures
Machine Learning Methods for Slice Admission in 5G Networks
One-Shot Learning for Modulation Format Identification in Evolving Optical Networks
Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
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Visar 8 forskningsprojekt
Resilient Remote Environment Emulering för kommunikation mellan människa och maskin
Efficient Confluent Edge Networks (ECO-eNET)
Fotoniskt-Assisterad Hårdvara för Reservoarberäkning (HJÄRNA)
Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)
Automation of Network edge Infrastructure & Applications with aRtificiAl intelligence, ANIARA
Smarta stadskoncepter i Curitiba - lågkolhalt transport och rörlighet i det digitala samhället