Traffic pattern prediction has emerged as a promising approach for efficiently managing and mitigating the impacts of event-driven bursty traffic in massive machine-type communication (mMTC) networks. However. achieving accurate predictions of bursty traffic remains a non-trivial task due to the inherent randomness of events. and these challenges intensify within live network environm... https://herbsdailyes.shop/product-category/ambulatory-accessories/