Exploring the Potential of Spiking Neural Networks through Efficient Architecture Design and Applications

Exploring the potential of the cost-efficient tahmo observation data for hydro-meteorological applications in sub-saharan africa

The Trans-African Hydro-Meteorological Observatory (TAHMO) is a promising initiative aiming to insta

Neural Networks Architecture for Amazigh POS Tagging

Efficient Convolutional Neural Networks for Diacritic Restoration

Diacritic restoration has gained importance with the growing need for machines to understand written

Neuromorphic Deployment of Spiking Neural Networks for Cognitive Load Classification in Air Traffic Control

This paper presents a neuromorphic system for cognitive load classification in a real-world setting,

Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning

Most of the world's languages suffer from the paucity of annotated data. This curbs the effectivenes

Enhancing amazigh ASR through convolutional neural networks and MFCC