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ORCIDAyhan Akbas
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2020 – today
- 2025
[j9]Noorah Jaber Faisal Jaber
, Ayhan Akbas:
Melanoma skin cancer detection based on deep learning methods and binary Harris Hawk optimization. Multim. Tools Appl. 84(22): 25709-25722 (2025)- [j8]Mathr Sharif, Selim Buyrukoglu, Ayhan Akbas:
Student adaptivity classification in online education through stacked ensemble learning. Multim. Tools Appl. 84(26): 31119-31138 (2025) - [j7]Abdelaziz Al Dawi, Necmi Serkan Tezel, Javad Rahebi, Ayhan Akbas:
An approach to botnet attacks in the fog computing layer and Apache Spark for smart cities. J. Supercomput. 81(4): 582 (2025) - [c5]Sulyman Age Abdulkareem, Samara Mayhoub, Sotiris Chatzimiltis, Ayhan Akbas, Chuan Heng Foh, Mohammad Shojafar, Rahim Tafazolli:
Efficient Anomaly Detection in Open-RAN Using Conditional Tabular GAN for RIC Applications. INFOCOM WKSHPS 2025: 1-6 - [c4]Sunil Kumar, Rafik Zitouni, Ayhan Akbas, Chuan Heng Foh:
FlexScale: Scalable and Efficient Management Approach for Near-RT RIC in O-RAN. WCNC 2025: 1-7 - [i1]Hamed Alimohammadi, Sotiris Chatzimiltis, Samara Mayhoub, Mohammad Shojafar, Seyed Ahmad Soleymani, Ayhan Akbas, Chuan Heng Foh:
KPI Poisoning: An Attack in Open RAN Near Real-Time Control Loop. CoRR abs/2505.05537 (2025) - 2024
- [j6]Marwah Sameer Abed Abed, Ayhan Akbas:
An Approach in Melanoma Skin Cancer Segmentation With Bat Optimization Algorithm. Int. J. Imaging Syst. Technol. 34(4) (2024) - [j5]Firas Alshakree, Ayhan Akbas, Javad Rahebi:
Human identification using palm print images based on deep learning methods and gray wolf optimization algorithm. Signal Image Video Process. 18(1): 961-973 (2024) - [j4]Abbas Jabr Saleh Albahadili, Ayhan Akbas, Javad Rahebi:
Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms. Signal Image Video Process. 18(6-7): 4979-4995 (2024) - [c3]Samara Mayhoub, Sotiris Chatzimiltis, Hamed Alimohammadi, Zhizhou He, Sulyman Age Abdulkareem, Mohammad Shojafar, Ayhan Akbas, Chuan Heng Foh:
A New Sub-Use Case for Signaling Storm Attack in Open RAN and an ML-based Detection Approach. CSCN 2024: 308-313 - [c2]Ayhan Akbas, Chuan Heng Foh, Hamed Alimohammadi, Ahmad Sulaymani Seyed, Samara Mayhoub, Sulyman Age Abdulkareem, Chee Yen Leow, Mohammad Shojafar:
Coverage Versus Capacity Conflict Mediation via Antenna Tilt in Self-Organising Networks. ISTT 2024: 72-77 - 2023
- [j3]Osman Gokhan Uyan, Ayhan Akbas, Vehbi Cagri Gungor:
Machine learning approaches for underwater sensor network parameter prediction. Ad Hoc Networks 144: 103139 (2023) - 2022
- [j2]Osman Gokhan Uyan, Ayhan Akbas, Vehbi Cagri Gungor:
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks. Comput. Networks 212: 109070 (2022)
2010 – 2019
- 2019
- [j1]Ayhan Akbas, Huseyin Ugur Yildiz, Ahmet Murat Özbayoglu, Bülent Tavli:
Neural network based instant parameter prediction for wireless sensor network optimization models. Wirel. Networks 25(6): 3405-3418 (2019) - 2016
- [b1]Ayhan Akbas:
Kablosuz algılayıcı ağların ağ ömrünü maksimize etmek için iletim gücü seviyesi ile veri paket boyunun müşterek eniyilenmesi (Joint optimization of transmission power level and data packet size for wireless sensor network lifetime maximization). TOBB University of Economics and Technology, Turkey, 2016 - 2014
- [c1]Ayhan Akbas, Huseyin Ugur Yildiz, Bülent Tavli:
Data packet length optimization for Wireless Sensor Network lifetime maximization. COMM 2014: 1-6
Coauthor Index
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