.- Workshop on Adaptive Service-oriented and Cloud Applications.
.- Towards the interoperability of port Digital Twin systems through ontologies alignment.
.- Architecture Mining approach for Systems-of-Systems : Monitoring and Discovery.
.- Self-adaptation in Microservice Systems: A Literature Review.
.- Expressing Variability in Requirements Specification for Adaptive Dynamic Systems.
.- Workshop on AI-enabled Process Automation.
.- Predictive Process Monitoring Using Object-centric Graph Embeddings.
.- InferNet: Next Likely Action Prediction in Business Processes.
.- Activity Instance Identification using Bipartite Graph Matching.
.- Causally-informed predictive process monitoring.
.- CDL+: An Extended Capability Description Language Design For Medical Data-Driven Process.
.- Exploring the Systematic Use of LLMs for Microservices Generation.
.- Workshop on Engineering Service-Oriented Applications and Cloud Services.
.- LLM-Based DAG Creation for Data Enrichment Pipelines in SemT Framework.
.- SaaS Pricing-Aware Demand and Capacity Management.
.- Towards Effective SaaS Pricing Design: A Case Study of CCSIM.
.- Enhancing Federated Learning with SOA: An Approach to Tackle Non-IID Data Challenges.
.- Externalized and Decentralized Authorization of Microservices.
.- Decoding the privacy policy implications of personal data processing: A framework for GDPR Compliance in Business and Social apps.
.- Workshop on Generative AI as a Software Service.
.- Generative AI for Software Development: A Survey.
.- Aligning Declarations and Practices: Evaluating Privacy Policy Consistency with App Permissions using Generative AI.
.- Workshop on Lightweight AI-based Services.
.- Urban Sound Classification on Resource-constrained Edge Devices.
.- Lightweight AI-Driven Real-Time Intruder Detection System for IoT-Enabled Smart Meters.
.- Knowledge Distillation for Object Detection Using YOLO-NAS.
.- Knowledge Distillation: A Key Approach For Lightweight Deep Generative Models.
.- Random Forest Based Fast MTS Algorithm for VVC Encoder.
.- Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices - Training & Inference.
.- Reinforcement Learning Challenges in Power Grid Management: A Case Study with City Learn Simulator.
.- Visual Anomaly Detection In Modern Industrial Manufacturing Systems: Survey, Challenges and Future Directions.
.- LLM Non-text-focused Data Generation for Payroll Fraud Detection.
.- Workshop on RealTime Service oriented and EMbedded Systems.
.- Task scheduling for container orchestration of Kubernetes in distributed systems development.
