Abstract: This research paper addresses the pressing issue of air quality monitoring and prediction using machine learning algorithms. With a dataset comprising pollutant levels from various states, ...
Abstract: This paper introduces iGAN-IDS with Randomized Tree Classification, an improved performance method of IDS. The iGAN–IDS uses a GAN to predict anomalies in network traffic; the IDS obtains ...