A comparative evaluation of nature-inspired algorithms for feature selection problems.

Feature selection is a critical component of machine learning and data mining which addresses challenges like irrelevance, noise, redundancy in large-scale data etc., which often result in the curse of dimensionality. This study employs a K-nearest neighbour wrapper to implement feature selection using six nature-inspired algorithms, derived from human behaviour and mammal-inspired techniques.

Speech synthesis using generative adversarial network for improving readability of Hindi words to recuperate from dyslexia.

Children learn and develop their abilities at their own pace. One of the most basic skills that they acquire is reading. However, some children struggle with reading longer than their friends, and in such a case, it is possible that they have a learning disorder known as dyslexia.