The study introduces an innovative approach using an autoencoder network and embedding predictor to simplify apple images into 64 dimensions and predict fruit shapes from molecular data (SNPs).

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier. Current Science is a ...