D. (Dilek) Düstegör, PhD

Faculty of Science and Engineering

Telephone:

+31 50 36 33939

E-mail:

d.dustegor rug.nl

Homepage ORCID Research Portal

Publications

Science-Twins: Digital Twins for Interactive Lecture Demonstrations

Rigoni, D. & Düştegör, D., 2024, 1st International Workshop on Distributed Digital Twins, DiDit 2024. CEUR Workshop Proceedings, 7 p. (CEUR Workshop Proceedings; vol. 3755).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Employability prediction: a survey of current approaches, research challenges and applications: A survey of current approaches, research challenges and applications

Mezhoudi, N., Alghamdi, R., Aljunaid, R., Krichna, G. & Düştegör, D., Mar-2023, In: Journal of Ambient Intelligence and Humanized Computing. 14, p. 1489–1505 17 p.

Research output: Contribution to journal › Article › Academic › peer-review

Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand

Sultana, N., Hossain, S. M. Z., Almuhaini, S. H. & Dustegor, D., May-2022, In: Energies. 15, 9, 26 p., 3425.

Research output: Contribution to journal › Article › Academic › peer-review

All (33) publications

View full research profile

D. (Dilek) Düstegör, PhD

Publications

Science-Twins: Digital Twins for Interactive Lecture Demonstrations

Employability prediction: a survey of current approaches, research challenges and applications: A survey of current approaches, research challenges and applications

Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand

Interactive online experiments: a generic framework

IoT Based Smart Water Quality Monitoring: Recent Techniques, Trends and Challenges for Domestic Applications

Decision Trees for Very Early Prediction of Student's Achievement

Predicting academic success in higher education: Literature review and best practices

Prediction of Academic Performance at Undergraduate Graduation: Course Grades or Grade Point Average?

Analytical tool for the modelling and simulation of curriculum: Towards automated design, assessment, and improvement

Fostering higher cognitive skills through design thinking in digital hardware course: A case study