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2020 – today
- 2024
[c5]Emrecan Özkan, Ibrahim Yazici, Semih Engin:
Machine Learning-Assisted Mobile Network Speed Prediction: A Real-World Case Application. SIU 2024: 1-4- [c4]Ibrahim Yazici, Emrecan Özkan, Emre Gures:
Enhancing Path Loss Prediction Through Explainable Machine Learning Approach. WINCOM 2024: 1-5 - [i3]Ibrahim Yazici, Emre Gures:
NR-V2X Quality of Service Prediction Through Machine Learning with Nested Cross-Validation Scheme. CoRR abs/2404.06286 (2024) - 2023
- [c3]Emre Gures, Ibraheem Shayea
, Ibrahim Yazici, Ayman A. El-Saleh, Sawsan Ali Saad:
A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS. CAMAD 2023: 146-151 - [c2]Ibrahim Yazici, Emre Gures:
A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation. WINCOM 2023: 1-6 - [c1]Ibrahim Yazici, Emre Gures:
A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation. WINCOM 2023: 1-6 - [i2]Ibrahim Yazici, Emre Gures:
A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation. CoRR abs/2310.01030 (2023) - [i1]Ibrahim Yazici, Emre Gures:
A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation. CoRR abs/2310.01034 (2023) - 2022
- [b1]Ibrahim Yazici:
Short term electricity load forecasting with deep learning (Derin öğrenme ile kısa dönemli elektrik yük talep tahmini). İstanbul Technical University, Turkey, 2022 - [j3]Ibrahim Yazici, Ömer Faruk Beyca, Omer Faruk Gurcan, Halil Zaim, Dursun Delen, Selim Zaim:
A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria. Ann. Oper. Res. 308(1): 753-776 (2022) - [j2]Ibrahim Yazici, Ömer Faruk Beyca, Dursun Delen:
Deep-learning-based short-term electricity load forecasting: A real case application. Eng. Appl. Artif. Intell. 109: 104645 (2022)
2010 – 2019
- 2015
- [j1]Ibrahim Yazici, Cengiz Kahraman:
VIKOR method using interval type two fuzzy sets. J. Intell. Fuzzy Syst. 29(1): 411-421 (2015)
Coauthor Index
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