Research output per year
Research output per year
Project Details
Description
The main research objectives are (1) to investigate hierarchical and adaptive multi-source data and model integration techniques enabling the combination of information from heterogeneous sources, (2) to research knowledge propagation techniques within and across data sources, (3) to explore methods for estimating the quality of data fusion, (4) to research methods enabling context-aware situation profiling, interpretation and evolution prediction, and (5) to realize and validate
a proof-of-concept trend analytics engine and demonstrate its potential via realistic use cases.
a proof-of-concept trend analytics engine and demonstrate its potential via realistic use cases.
| Acronym | BRGDOC9 |
|---|---|
| Status | Finished |
| Effective start/end date | 1/01/20 → 31/12/21 |
Flemish discipline codes
- Intelligent transportation systems
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Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines
Dhont, M., Tsiporkova, E. & Boeva, V., Oct 2021, In: Energies. 14, 19, 30 p., 6216.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Advanced exploration of wind fleet data through operating mode labelling
Dhont, M., Verbeke, R., Droutsas, C., Boeva, V., Verbeke, M., Murgia, A. & Tsiporkova, E., 8 Dec 2021, Proceedings 5th RESRB 2020: Renewable Energy Sources – Research and Business. Wojciech Budzianowski Consulting Services, Vol. 5. p. 1-4 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Layered Integration Approach for Multi-view Analysis of Temporal Data
Dhont, M., Tsiporkova, E. & Boeva, V., 16 Dec 2020, Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Revised Selected Papers: AALTD 2020: Advanced Analytics and Learning on Temporal Data. Lemaire, V., Malinowski, S., Bagnall, A., Guyet, T., Tavenard, R. & Ifrim, G. (eds.). Springer, Vol. 12588. p. 138-154 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12588 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
3 Citations (Scopus)
Activities
- 1 Talk or presentation at a conference
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Dynamic Imputation Methodology for Multi-source Streaming Mobility Data
Michiel Dhont (Speaker), Elena Tsiporkova (Contributor) & Nicolás González-Deleito (Contributor)
20 Jun 2022Activity: Talk or presentation › Talk or presentation at a conference