Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach

Aimé Lay-Ekuakille, John Peter Djungha Okitadiowo, Moise Avoci Ugwiri, Sabino Maggi, Rita Masciale, Giuseppe Passarella. Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach. Sensors, 21(11):4197, 2021. [doi]

@article{Lay-EkuakilleOU21,
  title = {Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach},
  author = {Aimé Lay-Ekuakille and John Peter Djungha Okitadiowo and Moise Avoci Ugwiri and Sabino Maggi and Rita Masciale and Giuseppe Passarella},
  year = {2021},
  doi = {10.3390/s21124197},
  url = {https://doi.org/10.3390/s21124197},
  researchr = {https://researchr.org/publication/Lay-EkuakilleOU21},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {21},
  number = {11},
  pages = {4197},
}