- Dirty Entity Resolution starring Locality-Sensitive Hashing on Incoherent and Incomplete Distributed Big Data: A Feasibility Study
- Zero-serialization, Zero-copy memory pooling in compute clusters: Disaggregated memory made accessible
- Designing a data-enabled interactive tool for the early identification and referral of (expectant) families living in vulnerable circumstances: Supporting the potential of the promising first 1000 days of a child’s life
- Organisational Maturity Assessment during the Paradigm Shift from Monoliths to Data Mesh: Design Science Research in Developing a Data Mesh Maturity Assessment Model
- The role of data visibility in the control and automation of modern Supply Chains: A Model Predictive Control case study in Ferrari
- Analysing the implementation of the combination of ESG data, Big Data and AI within a financial institution, an explorative case study
- Recommender Systems with Evolutionary Algorithms: Many-Objective Optimization for Large-Scale Music Recommendation: A demonstration showing the reliability of serving users recommendations with trade-off for large music collections, by leveraging diverse Recommender Systems and Evolutionary Algorithms
- Feasibility Study of the Development of a Digital Twin for the Structural Health Monitoring of Marine Structures Using Big Data
- Not so big: Making data less overwhelming for designers: The development of a tool for novice designers to deal with big data without overwhelmingness feeling
- Data Driven Health & Safety Management: Leveraging Real Time Data Management to Improve Health & Safety Environment on Construction Sites
- Arrow Prefetching: Prefetching Techniques for High Performance Big Data Processors using the Apache Arrow Data Format