Service-Oriented Computing - ICSOC 2024 Workshops

.- 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.

• Erscheinungsdatum: 22.07.2025
• Autor/Autorin: Slim Kallel
• Reihe: Lecture Notes in Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 24.3 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 607 Seiten
• ISBN: 9789819672387
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.