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Erkan Caner Ozkat
Erkan Caner Ozkat
Assistant Prof., PhD at University of Warwick
Verified email at warwick.ac.uk
Title
Cited by
Cited by
Year
Development of decoupled multi-physics simulation for laser lap welding considering part-to-part gap
EC Ozkat, P Franciosa, D Ceglarek
Journal of Laser Applications 29 (2), 2017
172017
Machine learning models to estimate the elastic modulus of weathered magmatic rocks
N Ceryan, EC Ozkat, N Korkmaz Can, S Ceryan
Environmental Earth Sciences 80 (12), 1-24, 2021
152021
Laser dimpling process parameters selection and optimization using surrogate-driven process capability space
EC Ozkat, P Franciosa, D Ceglarek
Optics & Laser Technology 93, 149-164, 2017
132017
A data-driven predictive maintenance model to estimate RUL in a multi-rotor UAS
EC Ozkat, O Bektas, MJ Nielsen, A la Cour-Harbo
International Journal of Micro Air Vehicles 15, 17568293221150171, 2023
82023
A framework for physics-driven in-process monitoring of penetration and interface width in laser overlap welding
EC Ozkat, P Franciosa, D Ceglarek
Procedia CIRP 60, 44-49, 2017
62017
A Method to Classify Steel Plate Faults Based on Ensemble Learning
EC OZKAT
Journal of Materials and Mechatronics: A 3 (2), 240-256, 2022
42022
Makine Öğrenmesi Metodolojisi Kullanılarak Yüksek Hızlı Rulmanlarda Sağlık Göstergesinin Belirlenmesi
EC OZKAT
Avrupa Bilim ve Teknoloji Dergisi, 176-183, 2021
42021
The Comparison of Machine Learning Algorithms in Estimation of Remaining Useful Life
EC Ozkat
IXth International Maintenance Technologies Congress and Exhibition, 613-620, 2019
32019
Machine Learning Driven Optimization and Parameter Selection of Multi-Surface HTS Maglev
EC Ozkat, M Abdioglu, UK Ozturk
Physica C: Superconductivity and its Applications 616, 1354430, 2024
12024
Extended 2-D magnetic field modeling of linear motor to investigate the magnetic force parameters of high-speed superconducting maglev
UK Ozturk, M Abdioglu, EC Ozkat, H Mollahasanoglu
IEEE Transactions on Applied Superconductivity 33 (4), 1-8, 2023
12023
A Degradation Model to Predict the Remaining Useful Life of Bearings
EC Ozkat
AI and Big Data in Engineering Applications, 227, 2021
1*2021
In-Process Monitoring of Remote Laser Welding Considering Part-to-Part Gap in Overlap Joint Based on Energy Balance Method
EC Ozkat, P Franciosa, D Ceglarek
ICALEO-Int. Congr. Appl. Laser Electro-Optics, 2016
12016
Vibration data-driven anomaly detection in UAVs: A deep learning approach
EC Ozkat
Engineering Science and Technology, an International Journal 54, 101702, 2024
2024
Positional Health Assessment of Collaborative Robots Based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network
N Hasan, L Webb, MK Chinanthai, MAA Hossain, EC Ozkat, MO Tokhi, ...
Climbing and Walking Robots Conference, 323-335, 2023
2023
A physics-driven model for the closed-loop quality control of remote laser welding
EC Ozkat
University of Warwick, 2019
2019
DİZEL ARAÇ EGZOZ SİSTEMİNİN AVL FIRE CFD PROGRAMI İLE MODELLENMESİ
EC ÖZKAT, A SÜRMEN
2013
Modelling of Milner CVT for Toyota Prius based on AVL Cruise
EC Özkat, B Alkan, A Sürmen
2012
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Articles 1–17