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eess.SP2026
Why Model Selection Fails in Time Series Forecasting: An Empirical Study of Instability Across Data Regimes
Tahir Cetin Akinci, Alfredo A. Martinez-Morales
Time series forecasting models often exhibit inconsistent performance across datasets with varying statistical and structural properties. Despite the wide range of available foreca…
eess.SP2026
A Hybrid STFT-Based Machine Learning Framework for Physically Interpretable Arc Stability Classification in Electric Arc Welding Systems
Tahir Cetin Akinci, Gokhan Gokmen, Alfredo A. Martinez-Morales
This study presents a physically informed hybrid time-frequency and machine learning (STFT-ML) framework for arc stability monitoring in electric arc welding systems. The primary c…