A comparison of various supervised machine learning techniques for prostate cancer prediction E Erdem, F Bozkurt Avrupa Bilim ve Teknoloji Dergisi, 610-620, 2021 | 42 | 2021 |
Detection of Pneumonia with a Novel CNN-based Approach E Erdem, T Aydin Sakarya University Journal of Computer and Information Sciences 4 (1), 26-34, 2021 | 26 | 2021 |
Flight scheduling incorporating bad weather conditions through big data analytics: A comparison of metaheuristics E Erdem, T Aydın, B Erkayman Expert Systems 38 (8), e12752, 2021 | 10 | 2021 |
COVID-19 detection in Chest X-ray Images using Deep Learning E Erdem, T Aydın | 9 | 2020 |
New Artificial intelligence approaches for brand switching decisions B Erkayman, E Erdem, T Aydin, Z Mahmat Alexandria Engineering Journal 63, 625-643, 2023 | 4 | 2023 |
Göğüs Kanseri Histopatolojik Görüntü Sınıflandırması E Erdem, T Aydin Bilişim Teknolojileri Dergisi 14 (1), 87-94, 2021 | 4 | 2021 |
Novel Deep Hybrid and Ensemble Algorithms for Improving GPS Navigation Positioning Accuracy T Aydin, E Erdem IEEE Access 11, 53518-53530, 2023 | 3 | 2023 |
A CNN-based hybrid model to detect Coronavirus disease E Erdem, T Aydin Avrupa Bilim ve Teknoloji Dergisi, 66-73, 2021 | 3 | 2021 |
A novel bearing fault detection approach using a convolutional neural network T Aydın, E Erdem, B Erkayman, M Engin Kocadağistan, T Teker Materials Testing 66 (4), 478-492, 2024 | 1 | 2024 |
Olumsuz hava koşullarını dikkate alan uçuş çizelgeleme problemi için metasezgisel yaklaşımlar E Erdem Atatürk Üniversitesi Fen Bilimleri Enstitüsü adresinden erişildi, 2019 | 1 | 2019 |
Materials testing: A novel bearing fault detection approach using a convolutional neural network T Aydın, E Erdem, B Erkayman, M Engin Kocadağistan, T Teker Hanser, 2024 | | 2024 |
A novel bearing fault detection approach using a convolutional neural network T Aydln, E Erdem, B Erkayman, M Engin Kocadaǧistan, T Teker Materialpruefung/Materials Testing 66 (4), 2024 | | 2024 |
Artificial Neural Network-Based Approaches to Improve Classification of Skin Lesions E Erdem, T Aydin 2023 Medical Technologies Congress (TIPTEKNO), 1-4, 2023 | | 2023 |
Deep hybrid models for CT images to detect COVID-19: A comparison of transfer learning approach E Erdem, T Aydın Journal of Soft Computing and Artificial Intelligence 2 (2), 56-68, 2021 | | 2021 |