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

Exploring Explainable and Causal AI for Feature Selection in Industry 5.0

Investigating Neurosymbolic AI for Intent-based Service Management

Machine Learning for Performance Optimization in Resource-Constrained Environments

Towards Cognitive Microservice Orchestration in the Multi-Cloud Continuum

Management of Safety-Critical AI Services in the Compute Continuum

Hybridized Hot Restart via Reinforcement Learning for Microservice Orchestration

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

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

Semantic Information Management Systems

Multivariate Time Series Anomaly Detection in Industry 5.0

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

Efficient Data Dissemination via Semantic Filtering at the Tactical Edge

VOICE: Value-of-Information for Compute Continuum Ecosystems

Efficient Microservice Deployment in Kubernetes Multi-Clusters through Reinforcement Learning

Enabling Big Data and Machine Learning Applications in High-Stakes Environments

The Evolution of Kubernetes Management: Introducing the KubeTwin Framework

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

Kubernetes Enhanced Stateful Service Migration for ML-Driven Applications in Industry 4.0 Scenarios

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