Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...

Abstract: This letter proposes a hybrid grey wolf optimization-artificial neural network (GWO-ANN) method for designing filtering patch antennas with high out-of-band suppression and in-band gain ...