@article{olesinski2021very,
  title = {The Very First Attempt to RF Signals Detection in Wide RF Spectrum  Using Deep Learning},
  author = {Adam OLESINSKI and Zbigniew PIOTROWSKI},
  year = 2021,
  url = {https://ibimapublishing.com/p-articles/37AI/2021/37124121/},
  journal = {Communications of International Proceedings},
  volume = 2021 (8),
  abstract = {The article presents the initial stage of research on the application of deep learning machine to the detection of radio signals in the broadband radio spectrum. A measuring station based on a software defined radio and a PC with GNU Radio and PyTorch software was put together. During the research, positive results were noted with the use of a trained with low-randomized data, Mask R-CNN network [1] for the detection of radio signals in the radio spectrum.},
  keywords = {Radio Frequency Machine Learning (RFML); Deep Learning; Neural Network},
  note = Article ID: 37124121
}