no code implementations • 26 May 2024 • Azim Akhtarshenas, Navid Ayoobi, David Lopez-Perez, Ramin Toosi, Matin Amoozadeh
Optimizing the design, performance, and resource efficiency of wireless networks (WNs) necessitates the ability to discern Line of Sight (LoS) and Non-Line of Sight (NLoS) scenarios across diverse applications and environments.
no code implementations • 4 Dec 2023 • Mohammad Ali Vahedifar, Azim Akhtarshenas, Maryam Sabbaghian, Mohammad Mohammadi Rafatpanah, Ramin Toosi
To this end, we introduce a classification method to improve the performance of the KNN algorithm.
no code implementations • 8 Oct 2023 • Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, Behrouz Maham, Tohid Alizadeh, Sina Ebrahimi, David López-Pérez
Robust machine learning (ML) models can be developed by leveraging large volumes of data and distributing the computational tasks across numerous devices or servers.