Marcel Tilly

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification

Machine learning is an essential tool for optimizing industrial quality control processes. However, the complexity of machine learning models often limits their practical applicability due to a...

Advancements in synthetic data extraction for industrial injection molding

Machine learning has significant potential for optimizing various industrial processes. However, data acquisition remains a major challenge as it is both time-consuming and costly. Synthetic data...

inContext: A Pervasive and Collaborative Working Environment for Emerging Team Forms

Using task context to achieve effective information delivery

Low-Latency Service Data Aggregation Using Policy Obligations

Composition Context for Web Services Selection

Technologies for SOA-based distributed large scale process monitoring and control systems

A SOA-based architecture for empowering future collaborative cloud-based industrial automation

Efficient Data Processing for Large-Scale Cloud Services

Non-Functional Properties and Service Level Agreements in Service-Oriented Computing (NFPSLA-SOC '07) - Organizers' Workshop Summary

Introduction to the Fifth Workshop on Non-Functional Properties and Service Level Agreements Management in Service-Oriented Computing (NFPSLAM-SOC 2011)

Service Selection Based on Non-functional Properties

A Context Model for Knowledge Workers

Matching customer requests to service offerings in real-time