Exploring Explainable and Causal AI for Feature Selection in Industry 5.0

Semantic Information Management Systems

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

State Management Strategies for Stateful Digital Twin Migration in Industrial Scenarios

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

Investigating Neurosymbolic AI for Intent-based Service Management

Cyber-Physical Interaction Engineering of Industrial Digital Twin Ecosystems

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

Multivariate Time Series Anomaly Detection in Industry 5.0

RoamML Platform: Enabling Distributed Continual Learning for Disaster Relief Operations

Efficient Microservice Deployment in Kubernetes Multi-Clusters through Reinforcement Learning

TELKA: Twin-Enhanced Learning for Kubernetes Applications

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

VOICE: Value-of-Information for Compute Continuum Ecosystems

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

Efficient Data Dissemination via Semantic Filtering at the Tactical Edge

Multi-objective scheduling and resource allocation of Kubernetes replicas across the compute continuum

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