Ali Dabbous

According to our database, Ali Dabbous authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Assessment of Recurrent Spiking Neural Networks on Neuromorphic Accelerators for Naturalistic Texture Classification.

Haydar Al Haj Ali, Ali Dabbous, Ali Ibrahim, Maurizio Valle

Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

Modeling and Simulation of Optically Transparent Brain Computer Interfaces.

Rayan Kheirldeen, Ali Shaito, Houssein Hajj Hassan, Ali Cherry, Ali Dabbous, Mohamad Hajj-Hassan

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Real-Time Implementation of Tiny Machine Learning Models for Hand Motion Classification.

Razan Khalife, Rawan Mrad, Ali Dabbous, Ali Ibrahim

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection.

Matteo Fresta, Ali Dabbous, Francesco Bellotti, Alessio Capello, Luca Lazzaroni, Alessandro Pighetti, Riccardo Berta

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Neural Architecture for Tennis Shot Classification on Embedded System.

Ali Dabbous, Matteo Fresta, Francesco Bellotti, Riccardo Berta

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022

Feed-Forward SNN for Touch Modality Prediction.

Ali Dabbous, Ali Ibrahim, Maurizio Valle

Proceedings of the Advances in System-Integrated Intelligence, 2022

Object Contact Shape Classification Using Neuromorphic Spiking Neural Network with STDP Learning.

Ali Dabbous, Ali Ibrahim, Mohamad Alameh, Maurizio Valle, Chiara Bartolozzi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Spiking Neural Network Based on Threshold Encoding For Texture Recognition.

Haydar Hajj Ali, Ali Dabbous, Ali Ibrahim, Maurizio Valle

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021

Artificial Bio-Inspired Tactile Receptive Fields for Edge Orientation Classification.

Ali Dabbous, Michele Mastella, Natarajan A., Chicca E., Valle M., Barolozzi C.

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Touch Modality Classification using Spiking Neural Networks and Supervised-STDP Learning.

Ali Dabbous, Ali Ibrahim, Maurizio Valle, Chiara Bartolozzi

Proceedings of the 28th IEEE International Conference on Electronics, 2021