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Ebru Erdem
Ebru Erdem
在 atauni.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
A comparison of various supervised machine learning techniques for prostate cancer prediction
E Erdem, F Bozkurt
Avrupa Bilim ve Teknoloji Dergisi, 610-620, 2021
422021
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
262021
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
102021
COVID-19 detection in Chest X-ray Images using Deep Learning
E Erdem, T Aydın
92020
New Artificial intelligence approaches for brand switching decisions
B Erkayman, E Erdem, T Aydin, Z Mahmat
Alexandria Engineering Journal 63, 625-643, 2023
42023
Göğüs Kanseri Histopatolojik Görüntü Sınıflandırması
E Erdem, T Aydin
Bilişim Teknolojileri Dergisi 14 (1), 87-94, 2021
42021
Novel Deep Hybrid and Ensemble Algorithms for Improving GPS Navigation Positioning Accuracy
T Aydin, E Erdem
IEEE Access 11, 53518-53530, 2023
32023
A CNN-based hybrid model to detect Coronavirus disease
E Erdem, T Aydin
Avrupa Bilim ve Teknoloji Dergisi, 66-73, 2021
32021
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
12024
Olumsuz hava koşullarını dikkate alan uçuş çizelgeleme problemi için metasezgisel yaklaşımlar
E Erdem
Atatürk Üniversitesi Fen Bilimleri Enstitüsü adresinden erişildi, 2019
12019
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
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