output
20222025
most citedMultivariate Extreme Value Theory Based Channel Modeling for Ultra-Reliable Communications

14 citations

5 papers

stat.AP2025★ 1 cited

Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling

Burak Alakent, Erkan Isikli, Cigdem Kadaifci +1

Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two…

cs.IT2024★ 4 cited

Incorporation of Confidence Interval into Rate Selection Based on the Extreme Value Theory for Ultra-Reliable Communications

Niloofar Mehrnia, Sinem Coleri

Proper determination of the transmission rate in ultra-reliable low latency communication (URLLC) needs to incorporate a confidence interval (CI) for the estimated parameters due t…

cs.IT2024★ 13 cited

Extreme Value Theory Based Rate Selection for Ultra-Reliable Communications

Niloofar Mehrnia, Sinem Coleri

Ultra-reliable low latency communication (URLLC) requires the packet error rate to be on the order of -. Determining the appropriate transmission rate to satisfy…

cs.IT2024★ 14 cited

Multivariate Extreme Value Theory Based Channel Modeling for Ultra-Reliable Communications

Niloofar Mehrnia, Sinem Coleri

Attaining ultra-reliable communication (URC) in fifth-generation (5G) and beyond networks requires deriving statistics of channel in ultra-reliable region by modeling the extreme e…

eess.SP2022★ 1 cited

Tool flank wear prediction using high-frequency machine data from industrial edge device

D. Bilgili, G. Kecibas, C. Besirova +6

Tool flank wear monitoring can minimize machining downtime costs while increasing productivity and product quality. In some industrial applications, only a limited level of tool we…