Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Bram Steurtewagen

Faculty of Economics and Business Administration > Department of Marketing, Innovation and Organisation

Work address: Tweekerkenstraat 2
9000 Gent
Email: Bram.Steurtewagen@UGent.be
ORCID iD: 0000-0002-2206-2371

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- PhD Thesis
Predictive analytics as a value-driver in industry 4.0

Bram Steurtewagen (UGent)

(2021)
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Adding interpretability to predictive maintenance by machine learning on sensor data

Bram Steurtewagen (UGent) and Dirk Van den Poel (UGent)

(2021) COMPUTERS & CHEMICAL ENGINEERING. 152.
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Machine learning refinery sensor data to predict catalyst saturation levels

Bram Steurtewagen (UGent) and Dirk Van den Poel (UGent)

(2020) COMPUTERS & CHEMICAL ENGINEERING. 134.
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Root cause analysis of compressor failure by machine learning

Bram Steurtewagen (UGent) and Dirk Van den Poel (UGent)

(2019) 2019 PETROLEUM AND CHEMICAL INDUSTRY CONFERENCE EUROPE (PCIC EUROPE). In Petroleum and Chemical Industry Conference Europe p.15-19
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Latency measurement of fine-grained operations in benchmarking distributed stream processing frameworks

Giselle van Dongen (UGent) , Bram Steurtewagen (UGent) and Dirk Van den Poel (UGent)

(2018) 2018 IEEE International Congress on Big Data (IEEE BIGDATA CONGRESS). In IEEE International Congress on Big Data p.247-250
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Predicting consumer load profiles using commercial and open data

Dauwe Vercamer (UGent) , Bram Steurtewagen (UGent) , Dirk Van den Poel (UGent) and Frank Vermeulen

(2016) IEEE TRANSACTIONS ON POWER SYSTEMS. 31(5). p.3693-3701