24 citations · 34 across the 8 of their papers we have counts for
5 papers · 1 filter
Multiscale Visibility Theory: A Task-Relative Operator-Geometric Framework for Observation, Robustness, and Detectability
Tahir Cetin Akinci
Multiscale Visibility Theory (MVT) is introduced as a task-relative operator-geometric framework for determining how prescribed information survives and remains accessible through…
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…
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…
Impact of Validation Strategy on Machine Learning Performance in EEG-Based Alcoholism Classification
Tahir Cetin Akinci, Yuksel Celik, Omer Faruk Ertugrul
Electroencephalography provides a non-invasive and cost-effective approach for analyzing neural patterns associated with alcohol dependence. However, reported classification perfor…
Operator-Theoretic Energy Functionals for Impulse-Excited Nonstationary Signal Analysis
Tahir Cetin Akinci
This study presents an operator theoretic framework for defect detection in impulse excited nonstationary systems. Measured responses are modeled as finite energy impulse responses…