| An improved demand forecasting model using deep learning approach and proposed decision integration strategy for supply chain ZH Kilimci, AO Akyuz, M Uysal, S Akyokus, MO Uysal, B Atak Bulbul, ... Complexity 2019 (1), 9067367, 2019 | 209 | 2019 |
| Ensemble approach for time series analysis in demand forecasting: Ensemble learning AO Akyuz, M Uysal, BA Bulbul, MO Uysal 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 43 | 2017 |
| Revenue forecasting using a feed-forward neural network and ARIMA model MA Ekmiş, M Hekimoğlu, BA Bülbül Sigma Journal of Engineering and Natural Sciences 8 (2), 129-134, 2017 | 11 | 2017 |
| The Vibrational Analysis of Pyridoxine and its H2O Clusters By Ab-Initio Density Functional Method BA Bülbül, S AKYÜZ Sigma 6 (1), 139-147, 2015 | 1 | 2015 |
| Research Article An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain ZH Kilimci, AO Akyuz, M Uysal, S Akyokus, MO Uysal, BA Bulbul, ... | | 2019 |
| Pridoksin ve trimethoprim moleküllerinin ab-initio HF ve yoğunluk fonksiyonu teorisi (DFT) ile konformasyon analizi ve titreşim frekans ve kiplerinin incelenmesi B Atak Bülbül YTÜ Fen Bilimleri Enstitüsü, 2015 | | 2015 |
| Prİdoksİn Molekülünün ve h 2 O komplekslerİnİn Ab-Initio DFT teorİsİ İle tİtreşİmsel analİzİ AB Berna, S AKYÜZ | | |
| Gün Sonu Cirolarının Otoregresif Yapay Sinir Ağlarıyla Öngörü Modellemesi MA EKMİŞ, M HEKİMOĞLU, BA BÜLBÜL BİLDİRİLER KİTABI, 0 | | |
