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Our projects cover both theoretical and practical aspects of signal processing and machine learning. Take a look at our past and ongoing projects.
Reviving the History of the Independence with Colors of Deep Learning
Precision Agriculture via Autonomous and Collaborative Airborne Drones
Machine Learning for Health Sciences and Agriculture
Compressive Sampling of Correlated Signals
Bilinear Inverse Problems and Blind Deconvolution