64 citations
- Tampere UniversityFI9 papers
- Bahçeşehir UniversityTR8 papers
- Czech Technical University in PragueCZ7 papers
- University College CorkIE7 papers
- The University of Texas at ArlingtonUS6 papers
- Universidade Estadual Paulista (Unesp)BR6 papers
- University of EdinburghGB5 papers
- Aalto UniversityFI4 papers
- Hacettepe UniversityTR4 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR4 papers
- Qatar UniversityQA4 papers
- University of BolognaIT4 papers
70 papers
Sectoral contributions to sustainable development in Turkiye: Which sector is more effective?
Emre Akusta
Enhancing sustainable development performance requires an assessment of the relative roles of economic sectors in this process. However, comparative empirical evidence regarding th…
Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social Dilemmas
Alper Demir, Hüseyin Aydın, Kale-ab Abebe Tessera +2
Sequential Social Dilemmas (SSDs) provide a key framework for studying how cooperation emerges when individual incentives conflict with collective welfare. In Multi-Agent Reinforce…
Symmetric orthogonalization and probabilistic weights in resource quantification
Gökhan Torun
Transforming non-orthogonal bases into orthogonal ones often compromises essential properties or physical meaning in quantum systems. Here, we demonstrate that Löwdin symmetric ort…
Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
Sertac Kilickaya, Levent Eren
Purpose: The primary aim of this study is to enhance fault diagnosis in induction machines by leveraging the Padé Approximant Neuron (PAON) model. While accelerometers and micropho…
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
Sertac Kilickaya, Mete Ahishali, Cansu Celebioglu +5
The frequent breakdowns and malfunctions of industrial equipment have driven increasing interest in utilizing cost-effective and easy-to-deploy sensors, such as microphones, for ef…
Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks
Sertac Kilickaya, Cansu Celebioglu, Levent Eren +1
Condition monitoring of induction machines is crucial to prevent costly interruptions and equipment failure. Mechanical faults such as misalignment and rotor issues are among the m…