In this paper, we introduce a new method to analyse HIV using a combination of autoencoder networks and genetic algorithms. The proposed method is tested on a set of demographic properties of ...

Abstract: Autoencoder is one of the most prominent methods in detecting attacks in RT-IoT2022 because the unsupervised learning method can capture abnormal patterns in the dataset. However, finding ...

Abstract: Fiber orientation distributions (FODs) are widely used in connectome analysis based on diffusion MRI. Spherical har-monics (SPHARMs) are often used for the efficient repre-sentation of FODs; ...