13 citations · 18 across the 5 of their papers we have counts for
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cs.LG2023★ 2 cited
A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation
Ibrahim Yazici, Emre Gures
Fifth-generation (5G) mobile communication networks have recently emerged in various fields, including highspeed trains. However, the dense deployment of 5G millimeter wave (mmWave…
cs.LG2023★ 3 cited
A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation
Ibrahim Yazıcı, Emre Gures
The design and deployment of fifth-generation (5G) wireless networks pose significant challenges due to the increasing number of wireless devices. Path loss has a landmark importan…