| Issue Date | Title | Author(s) |
1 | 2020 | Deep Multi-Layer Perceptron based Prediction of Energy Efficiency and Surface Quality for Milling in The Era of Sustainability and Big Data | Serin, Gökberk; Şener, Batıhan; Güdelek, M. Uğur; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
2 | 2022 | An Evaluation Study of EMD, EEMD, and VMD For Chatter Detection in Milling | Seyrek, Pelin; Sener, Batihan; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
3 | 2022 | An industrially viable wavelet long-short term memory-deep multilayer perceptron-based approach to tool condition monitoring considering operational variability | Güdelek, M. Uğur; Serin, Gökberk; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
4 | 2020 | Intelligent Chatter Detection in Milling using Vibration Data Features and Deep Multi-Layer Perceptron | Şener, Batıhan; Serin, Gökberk; Güdelek, M. Uğur; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
5 | 2021 | A novel chatter detection method for milling using deep convolution neural networks | Şener, B.; Güdelek, M. U.; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
6 | 2021 | Precision and energy-efficient ball-end milling of Ti6Al4V turbine blades using particle swarm optimization | Kahya, Müge; Özbayoğlu, Murat ; Ünver, Hakkı Özgür |
7 | Jul-2020 | Review of tool condition monitoring in machining and opportunities for deep learning | Serin, G.; Şener, B.; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |