• Cross-European initial survey on the use of mathematical models in food industry 

      Djekic I., Mujčinović A., Nikolić A., Jambrak A.R., Papademas P., Feyissa A.H., Kansou K., Thomopoulos R., Breisen H., Kavallieratos N.G., Athanassiou C.G., Silva C.L.M., Sirbu A., Moisescu A.M., Tomasevic I., Brodnjak U.V., Charalambides M., Tonda A. (2019)
      Mathematical modelling plays an important role in food engineering having various mathematical models tailored for different food topics. However, mathematical models are followed by limited information on their application ...
    • Large-scale Data Exploration Using Explanatory Regression Functions 

      Savva F., Anagnostopoulos C., Triantafillou P., Kolomvatsos K. (2020)
      Analysts wishing to explore multivariate data spaces, typically issue queries involving selection operators, i.e., range or equality predicates, which define data subspaces of potential interest. Then, they use aggregation ...
    • Nitrogen-vacancy defects in germanium 

      Kuganathan N., Grimes R.W., Chroneos A. (2022)
      While nitrogen doping has been investigated extensively in silicon, there is only limited information on its interaction with vacancies in germanium, despite most point defect processes in germanium being vacancy controlled. ...