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    AuthorTitleYearJournal/ProceedingsDOI/URL
    Farzad Rezazadeh P, Amin Abrishambaf, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll Investigating Reproducibility of Ultra-High Performance Concrete with Consistent Mechanical Properties: A Modeling Pipeline for Sparse Data in Complex Manufacturing 2024 34. Workshop Computational Intelligence, accepted   
    BibTeX:
    @inproceedings{Rezazadeh2024GMA,
     author = {Farzad Rezazadeh P and Amin Abrishambaf and Axel Dürrbaum
    and Gregor Zimmermann and Andreas
    Kroll},
     booktitle = {34. Workshop Computational Intelligence},
     language = {english},
     mrtnote = {nopeer,presenter:Rezazadeh,EEpBeton},
     note = {accepted},
     owner = {fr},
     title = {Investigating Reproducibility of Ultra-High Performance
    Concrete with Consistent Mechanical Properties: A Modeling
    Pipeline for Sparse Data in Complex
    Manufacturing},
     year = {2024}
    }
    
    
    Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll Leveraging Ensemble Structures to Elucidate the Impact of Factors that Influence the Quality of Ultra–High Performance Concrete 2023 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 180-187, Mexico City, Mexico, 5.-8. Dezember  DOI , URL  
    BibTeX:
    @inproceedings{RezazadehSSCI2023,
     address = {Mexico City, Mexico},
     author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor Zimmermann and Andreas Kroll},
     booktitle = {2023 IEEE Symposium Series on Computational Intelligence (SSCI)},
     doi = {10.1109/SSCI52147.2023.10371800},
     language = {english},
     month = {5.-8. Dezember},
     mrtnote = {peer,EEpBeton},
     owner = {fr},
     pages = {180-187},
     title = {Leveraging Ensemble Structures to Elucidate the Impact of
    Factors that Influence the Quality of Ultra–High
    Performance
    Concrete},
     url = {https://ieeexplore.ieee.org/document/10371800},
     year = {2023}
    }
    
    
    Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties and Curing Conditions 2023 33. Workshop Computational Intelligence, pp. 215-237, KIT Scientific Publishing, Berlin, Germany, Workshop CI, 23.-24. November  DOI , URL  
    BibTeX:
    @inproceedings{RezazadehGMA2023,
     address = {Berlin, Germany},
     author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor
    Zimmermann and Andreas Kroll},
     booktitle = {33. Workshop Computational Intelligence},
     doi = {10.5445/KSP/1000162754},
     language = {english},
     month = {23.--24. November},
     mrtnote = {nopeer,presenter:Rezazadeh,EEpBeton},
     organization = {Workshop CI},
     owner = {fr},
     pages = {215--237},
     publisher = {KIT Scientific Publishing},
     title = {Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties
    and Curing
    Conditions},
     url = {https://doi.org/10.5445/KSP/1000162754},
     year = {2023}
    }
    
    
    Axel Dürrbaum, Farzad Rezazadeh, Andreas Kroll Automatic Camera-based advanced Slump FlowTesting for Improved Reliability 2023 IEEE Sensors 2023, Vienna, Austria, IEEE, 30. October  DOI , URL  
    BibTeX:
    @inproceedings{2023-ad_fr_ak_-Senors_2023-SFT_Camera,
     address = {Vienna, Austria},
     author = {Axel Dürrbaum and Farzad Rezazadeh and Andreas
    Kroll},
     booktitle = {IEEE Sensors 2023},
     doi = {10.1109/SENSORS56945.2023.10325030},
     language = {english},
     month = {30. October},
     mrtnote = {peer,presenter:Dürrbaum,EEpBeton},
     organization = {IEEE},
     owner = {duerrbaum},
     title = {Automatic Camera-based advanced Slump FlowTesting
    for Improved Reliability},
     url = {https://ieeexplore.ieee.org/document/10325030},
     year = {2023}
    }
    
    
    Farzad Rezazadeh, Andreas Kroll Predicting the compressive strength of concrete up to 28 days-ahead: Comparison of machine learning algorithms on benchmark datasets 2022 32. Workshop Computational Intelligence, pp. 53-75, KIT Scientific Publishing, Berlin, Germany, GMA-FA 5.14, 1.-2. December  DOI , URL  
    BibTeX:
    @inproceedings{RezazadehGMACI2022,
     address = {Berlin, Germany},
     author = {Farzad Rezazadeh and Andreas Kroll},
     booktitle = {32. Workshop Computational Intelligence},
     date = {2022},
     doi = {10.5445/KSP/1000151141},
     location = {Berlin},
     month = {1.-2. December},
     mrtnote = {nopeer,EEpBeton},
     organization = {GMA-FA 5.14},
     owner = {rezazadeh},
     pages = {53-75},
     publisher = {KIT Scientific Publishing},
     timestamp = {2021.08.24},
     title = {Predicting the compressive strength of concrete up to 28 days-ahead: Comparison of machine learning algorithms on benchmark
    datasets},
     url = {https://doi.org/10.5445/KSP/1000151141},
     year = {2022}
    }
    
    

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