%0 Journal Article %1 journals/sensors/Lay-EkuakilleOU21 %A Lay-Ekuakille, Aimé %A Okitadiowo, John Peter Djungha %A Ugwiri, Moise Avoci %A Maggi, Sabino %A Masciale, Rita %A Passarella, Giuseppe %D 2021 %J Sensors %K dblp %N 12 %P 4197 %T Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach. %U http://dblp.uni-trier.de/db/journals/sensors/sensors21.html#Lay-EkuakilleOU21 %V 21

@article{journals/sensors/Lay-EkuakilleOU21, added-at = {2021-09-20T00:00:00.000+0200}, author = {Lay-Ekuakille, Aimé and Okitadiowo, John Peter Djungha and Ugwiri, Moise Avoci and Maggi, Sabino and Masciale, Rita and Passarella, Giuseppe}, biburl = {https://www.bibsonomy.org/bibtex/2635f96df820896572bd73a394d34badc/dblp}, ee = {https://doi.org/10.3390/s21124197}, interhash = {2af0adba8f17098565615b979d4129d8}, intrahash = {635f96df820896572bd73a394d34badc}, journal = {Sensors}, keywords = {dblp}, number = 12, pages = 4197, timestamp = {2024-04-09T04:18:51.000+0200}, title = {Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach.}, url = {http://dblp.uni-trier.de/db/journals/sensors/sensors21.html#Lay-EkuakilleOU21}, volume = 21, year = 2021 }