For the past two decades, scientists have wondered about a bright, distinct striped pattern seen in radio waves emanating ...
Abstract: This study explores the application of Artificial Intelligence (AI) in predicting electromagnetic field (EMF) exposure levels in urban environments. Machine Learning (ML) and Deep Learning ...
Abstract: The aim of this paper is to investigate the efficacy of ensemble learning techniques in convolutional neural network (CNN) models for gastrointestinal disease classification using the Kvasir ...