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Books and Theses
- 2017
[b1]Serpil Üstebay:
Yeni nesil kablosuz ağlar için etkin bir kullanıcı konumlandırma sistemi tasarımı (Design of an efficient user localization system for next generation wireless networks). İstanbul University, Turkey, 2017
Journal Articles
- 2024
- [j2]Betul Hicdurmaz
, Nurullah Çalik, Serpil Ustebay:
Gauss-like Logarithmic Kernel Function to improve the performance of kernel machines on the small datasets. Pattern Recognit. Lett. 179: 178-184 (2024) - 2019
- [j1]Zeynep Turgut, Serpil Üstebay, Muhammed Ali Aydin, Gulsum Zeynep Gurkas Aydin, Ahmet Sertbas:
Performance analysis of machine learning and deep learning classification methods for indoor localization in Internet of things environment. Trans. Emerg. Telecommun. Technol. 30(9) (2019)
Conference and Workshop Papers
- 2019
- [c5]Serpil Ustebay, Zeynep Turgut, M. Ali Aydin:
Cyber Attack Detection by Using Neural Network Approaches: Shallow Neural Network, Deep Neural Network and AutoEncoder. CN 2019: 144-155 - [c4]Serpil Üstebay, Zeynep Turgut, Özgür Can Turna, M. Ali Aydin, Tülin Berber Atmaca:
Analysis of Device-Free and Device Dependent Signal Filtering Approaches for Indoor Localization Based on Earth's Magnetic Field System. DCSMart 2019: 1-13 - 2018
- [c3]Dogukan Aksu, Serpil Üstebay, Muhammed Ali Aydin, Tülin Atmaca:
Intrusion Detection with Comparative Analysis of Supervised Learning Techniques and Fisher Score Feature Selection Algorithm. ISCIS 2018: 141-149 - 2017
- [c2]Serpil Ustebay, M. Ali Aydin, Ahmet Sertbas, Tülin Atmaca:
A Comparative Analysis of N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) Algorithms for Indoor Localization. CN 2017: 81-90 - [c1]Serpil Ustebay, Züleyha Yiner, M. Ali Aydin, Ahmet Sertbas, Tülin Atmaca:
An Approach for Evaluating Performance of Magnetic-Field Based Indoor Positioning Systems: Neural Network. CN 2017: 412-421
Coauthor Index
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