FFT implementation and optimization on FPGA. - Tarek Belabed; Sabeur Jemmali; Chokri Souani (ATSIP, 2018)

An Edge Computing Robot Experience for Automatic Elderly Mental Health Care Based on Voice. - C. Yvanoff-Frenchin; Vitor Ramos; Tarek Belabed; Carlos Valderrama 001 (CoRR, 2019)

Low Cost and Low Power Stacked Sparse Autoencoder Hardware Acceleration for Deep Learning Edge Computing Applications. - Tarek Belabed; Maria Gracielly F. Coutinho; Marcelo A. C. Fernandes; Carlos Valderrama 001; Chokri Souani (ATSIP, 2020)

Full Python Interface Control: Auto Generation And Adaptation of Deep Neural Networks For Edge Computing and IoT Applications FPGA-Based Acceleration. - Tarek Belabed; Alexandre Quenon; Vitor Ramos Gomes Da Silva; Carlos A. Valderrama Sakuyama; Chokri Souani (INISTA, 2021)

User Driven FPGA-Based Design Automated Framework of Deep Neural Networks for Low-Power Low-Cost Edge Computing. - Tarek Belabed; Maria Gracielly F. Coutinho; Marcelo A. C. Fernandes; Carlos Valderrama Sakuyama; Chokri Souani (IEEE Access, 2021)

A Novel Automate Python Edge-to-Edge: From Automated Generation on Cloud to User Application Deployment on Edge of Deep Neural Networks for Low Power IoT Systems FPGA-Based Acceleration. - Tarek Belabed; Vitor Ramos Gomes Da Silva; Alexandre Quenon; Carlos Valderrama 001; Chokri Souani (Sensors, 2021)