24 citations · 34 across the 8 of their papers we have counts for
10 papers
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…
ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot Design and Control
Aydin Tarik Zengin, Gokhan Erdemir, Tahir Cetin Akinci +3
Continuous operation of the electrical transmission lines is of great importance for today's electricity-dependent world. It is crucial to detect and diagnose a possible problem on…
A thermal quantum classifier
Ufuk Korkmaz, Deniz Türkpençe, Tahir Çetin Akıncı +1
A data classifier is the basic structural unit of an artificial neural network. These classifiers, known as perceptron, make an output prediction over the linear summation of the i…
A steady state quantum classifier
Deniz Türkpençe, Tahir Çetin Akıncı, Serhat Şeker
We report that under some specific conditions a single qubit model weakly interacting with information environments can be referred to as a quantum classifier. We exploit the addit…
Decoherence in a quantum neural network
Deniz Türkpençe, Tahir Çetin Akıncı, Serhat Şeker
In this study, we propose a spin-star model for spin-(1/2) particles in order to examine the coherence dynamics of a quantum neural network (QNN) unit. Since quantum computing para…
Quantum neural networks driven by information reservoir
Deniz Türkpençe, Tahir Çetin Akıncı, Serhat Şeker
This study concerns with the dynamics of a quantum neural network unit in order to examine the suitability of simple neural computing tasks. More specifically, we examine the dynam…