Brain-Inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform

By Francesco Conti, Antonio Pullini, Luca Benini. 2014

34 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Luca Benini
4. Francesco Conti

In Electrical and Electronic Engineering

1. Ala Al-Fuqaha
2. M. Mohammadi
3. Luca Benini
4. Daniele Palossi
5. Francesco Conti
6. Mohsen Guizani
7. Sameh Sorour
8. Davide Rossi

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “Classroom occupancy monitoring is another application that has been investigated by Conti et al. [119].”
• Enabling the heterogeneous accelerator model on ultra-low power microcontroller platforms (2016, background): “The cnn ones extend the CConvNet library [34] and are also working on 16-bit fixed-point numbers.”