@article{6315,
  author       = {Suleimenov, Kanat and Kapsalyamov, Akim and Abdikenov, Beibit and Ozhikenova, Aiman and Igembay, Yerbolat and Ozhikenov, Kassymbek},
  issn         = {2227-7390},
  journal      = {Mathematics},
  number       = {22},
  publisher    = {MDPI AG},
  title        = {{Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers}},
  doi          = {10.3390/math13223669},
  volume       = {13},
  year         = {2025},
}

@article{4913,
  author       = {Weller, Julian and Migenda, Nico and Naik, Yash and Heuwinkel, Tim and Kühn, Arno and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman},
  issn         = {2227-7390},
  journal      = {Mathematics},
  number       = {17},
  publisher    = {MDPI AG},
  title        = {{Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories}},
  doi          = {10.3390/math12172663},
  volume       = {12},
  year         = {2024},
}

@article{2774,
  author       = {Tharwat, Alaa and Schenck, Wolfram},
  issn         = {2227-7390},
  journal      = {Mathematics},
  number       = {4},
  publisher    = {MDPI AG},
  title        = {{A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions}},
  doi          = {10.3390/math11040820},
  volume       = {11},
  year         = {2023},
}

@article{2775,
  author       = {Tharwat, Alaa and Schenck, Wolfram},
  issn         = {2227-7390},
  journal      = {Mathematics},
  number       = {7},
  publisher    = {MDPI AG},
  title        = {{A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data}},
  doi          = {10.3390/math10071068},
  volume       = {10},
  year         = {2022},
}

@article{1730,
  author       = {Leserri, David and Grimmelsmann, Nils and Mechtenberg, Malte and Meyer, Hanno Gerd and Schneider, Axel},
  issn         = {2227-7390},
  journal      = {Mathematics},
  number       = {6},
  publisher    = {MDPI AG},
  title        = {{Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network}},
  doi          = {10.3390/math10060932},
  volume       = {10},
  year         = {2022},
}

@article{3717,
  author       = {Voigt, Tim and Kohlhase, Martin and Nelles, Oliver},
  issn         = {2227-7390},
  journal      = {Mathematics},
  keywords     = {Gaussian process regression, design of experiments, static process models, industrial processes, stepwise experimental design},
  number       = {19},
  publisher    = {MDPI AG},
  title        = {{Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge}},
  doi          = {10.3390/math9192479},
  volume       = {9},
  year         = {2021},
}