Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work…
Automatic target recognition (ATR), both for optical and E.M. images, has been a subject of great interest since the last 20 years. The deep learning breakthrough allowed researchers to improve feature extractors by increasing their…
In recent years, FPGAs have demonstrated remarkable performance and contained power consumption for the on-the-edge inference of Convolutional Neural Networks. One of the main challenges in implementing this class of algorithms on board an FPGA…
Dysarthria is a motor disorder of speech characterized by alterationDysarthria is a motor disorder of speech characterized by alterationof articulation and intelligibility of speech. The goal of dysarthriamanagement is to optimize communication effectiveness for as…
Abstract—Among the recent investigations in upper-limb pros-theses, the research still focuses on exploring new control solu-tions to reduce the user’s mental fatigue and improve the control’srobustness and intuitiveness. Some studies present solutionsto close the control…