2 papers
eess.SP2024
A Review on Deep Learning Autoencoder in the Design of Next-Generation Communication Systems
Omar Alnaseri, Laith Alzubaidi, Yassine Himeur +3
Traditional mathematical models used in designing next-generation communication systems often fall short due to inherent simplifications, narrow scope, and computational limitation…
cs.NI2024
Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification
Bruna Bazaluk, Mosab Hamdan, Mustafa Ghaleb +3
The classification of IoT traffic is important to improve the efficiency and security of IoT-based networks. As the state-of-the-art classification methods are based on Deep Learni…