Wireless user estimation using artificial neural networks

  title={Wireless user estimation using artificial neural networks},
  author={Daniel Dominic N. Abinoja and Rhen Anjerome R. Bedruz and Kevin Loo Jovellanos and Argel A. Bandala},
  journal={2015 International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)},
Mobile devices, with the improving trend of smartphone use, is an area of study for human behavior on wireless data communications systems which serves as the converging focal point. The prediction of user quantities with non-intrusive data gathering in wireless communications trends and the correlation of Wi-Fi characteristics with quantity are important links towards data aggregation technique developments. To estimate user load in wireless connection systems, multi-layer feed forward… CONTINUE READING


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