Smart and Sustainable Ice Cream Making Through Edge Machine Learning

Traceability as a tool for identification of microplastic pollution and healthy food in the Goro lagoon

Semantic Information Management Systems

HephaestusForge: Optimal microservice deployment across the Compute Continuum via Reinforcement Learning

Investigating Neurosymbolic AI for Intent-based Service Management

Exploring Explainable and Causal AI for Feature Selection in Industry 5.0

Beyond TimeGraph: A Comparative Analysis of Temporal Generators for Evolving Network Graphs

Zero Trust Architecture and Digital Twin to Improve the Cybersecurity Posture of Distributed Smart Factory Environments

Cyber-Physical Interaction Engineering of Industrial Digital Twin Ecosystems

Hybridized Hot Restart via Reinforcement Learning for Microservice Orchestration

TimeGraph: Synthetic Generation of Graph Sequences for Realistic Mobile Connectivity Models

Chaos Engineering Based Kubernetes Pod Rescheduling Through Deep Sets and Reinforcement Learning

RoamML distributed continual learning: Adaptive and flexible data-driven response for disaster recovery operations

Embedding Models for Multivariate Time Series Anomaly Detection in Industry 5.0

State Management Strategies for Stateful Digital Twin Migration in Industrial Scenarios

KubeTwin: A Digital Twin Framework for Kubernetes Deployments at Scale

A Machine Learning Operations Platform for Streamlined Model Serving in Industry 5.0

Optimizing Industry 5.0 Machine Learning-Based Applications via Synthetic Data Generation

Efficient Microservice Deployment in Kubernetes Multi-Clusters through Reinforcement Learning

VOICE: Value-of-Information for Compute Continuum Ecosystems