| Issue Date | Title | Author(s) |
1 | 2022 | A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings | Ünal, P.; Albayrak, O.; Kubatova, M.; Deveci, B.U.; Çırakman, E.; Koçal, C.I.; Özbayoğlu, A. Murat |
2 | 2021 | Channel Characterization for Aircraft Integrated Antennas via Machine Learning | Aksan, Yasin; Yüksel, Melda; Özbayoğlu, A. Murat |
3 | 2022 | Deep Learning Based Hybrid Computational Intelligence Models for Options Pricing | Arin, Efe; Özbayoğlu, Ahmet Murat |
4 | Aug-2020 | Deep learning for financial applications: A survey | Özbayoğlu, Ahmet Murat ; Güdelek, M. U.; Sezer, O. B. |
5 | 2021 | Deep learning-based investment strategy: technical indicator clustering and residual blocks | Maratkhan, Anuar; İlyassov, Ibrakhim; Aitzhanov, Madiyar; Demirci, Muhammed Fatih ; Özbayoğlu, Ahmet Murat |
6 | 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 |
7 | 2021 | A Deep Neural Network Model for Stock Investment Recommendation by Considering the Stock Market as a Time Graph | Keskin, Mustafa Mert; Yılmaz, Muhammed; Özbayoğlu, Ahmet Murat |
8 | 2021 | Efficient computation of wireless sensor network lifetime through deep neural networks | Yılmaz, Muhammed; Özbayoğlu, Ahmet Murat ; Tavlı, Bülent |
9 | 2021 | Estimation of cuttings concentration and frictional pressure losses during drilling using data-driven models | Özbayoğlu, Murat ; Özbayoğlu, E.; Özdilli, B.G.; Erge, O. |
10 | 2022 | An Evaluation Study of EMD, EEMD, and VMD For Chatter Detection in Milling | Seyrek, Pelin; Sener, Batihan; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
11 | May-2020 | Financial time series forecasting with deep learning : A systematic literature review: 2005-2019 | Sezer, Ömer Berat; Güdelek, Mehmet Uğur; Özbayoğlu, Ahmet Murat |
12 | 2020 | Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks | Sezer, Ömer Berat; Özbayoğlu, Ahmet Murat |
13 | 2022 | Hybrid Method by Integrating Deep Reinforcement Learning and Heuristics Approach for Capacitated Vehicle Routing Problem | Aktaş, Y.F.; Özbayoğlu, A.M. |
14 | 2023 | Implementation of Neuro-Inspired Arithmetic and Logic Circuits | Karamüftüoğlu, Mustafa Altay; Bozbey, Ali ; Özbayoğlu, Murat |
15 | 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 |
16 | 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 |
17 | 2021 | A novel chatter detection method for milling using deep convolution neural networks | Şener, B.; Güdelek, M. U.; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
18 | 2021 | Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models | Özbayoğlu, Evren; Özbayoğlu, Murat ; Özdilli, Barış Güney; Erge, Öney |
19 | 2021 | Painter Prediction from Artworks with Transfer Learning | Cömert, Ceren; Özbayoğlu, M. ; Kasnakoğlu, Coşku |
20 | 2021 | Performance analysis of machine learning models for object recognition in underwater video images | Özdilli, B.G.; Arslan, M.B.; Alp, T.; Albayrak, O.; Ünal, P.; Bozkurt, O.; Özbayoğlu, A. Murat |