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Mert Yağcıoğlu

Observed names: MERT YAĞCIOĞLU, Mert Yagcioglu, Mert Yaǧcioǧlu, Yağcıoğlu, Mert
ORCID: 0000-0001-6493-6447
Observed ORCID: 0000-0001-6493-6447
OpenAlex ID: A5032167789
Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data
2025 · Aziz Kubilay Ovacıklı, Mert Yagcioglu, et al. · Applied Sciences · 23
Enhanced Deep Reinforcement Learning-Driven Adaptive Network Slicing and Resource Allocation for URLLC in 5G Networks
2025 · Mert Yağcıoğlu · Journal of Network and Systems Management · 12
Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment
2022 · Mert Yağcıoğlu · Transactions on Emerging Telecommunications Technologies · 11
Machine learning based dynamic resource sharing and frequency reuse in 5G hetnets with dronecells
2025 · Mert Yağcıoğlu · Computer Networks · 8
A Deep Learning Framework for Severity-Aware Fault Diagnosis in Industrial Suction Fans Using Multi-Modal Sensing
2025 · Mert Yagcioglu, Aziz Kubilay Ovacikli, et al. · IEEE Access · 4
Next Generation Dynamic Inter-Cellular Scheduler
2019 · Mert Yağcıoğlu, Oğuz Bayat · International Journal of Electronics and Telecommunications · 3
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Explainable rule-based steam trap leakage detection from thermal images using inlet–outlet contrast analysis
2026 · Mert Yağcıoğlu, Aziz Kubilay Ovacıklı · Signal Image and Video Processing · 2
FD-REST: A lightweight RESTful platform for real-time fault detection and diagnosis in industrial systems
2026 · Tuğberk Kocatekin, Aziz Kubilay Ovacıklı, et al. · SoftwareX · 2
A Comparative Study of Machine Learning Regression Models with and Without Dimensionality Reduction for Predicting Throughput in 5G Networks
2025 · Mert Yağcıoğlu · Wireless Personal Communications · 2
Experience-Based Packet Scheduler
2015 · Mert Yağcıoğlu, Oğuz Bayat · International Conference on Engineering & MIS (ICEMIS) · 2
Deployment-Aware Predictive Resource Allocation in 5G, 6G, and Beyond RANs Using Integrated Deep and Reinforcement Learning
2026 · Mert Yaǧcioǧlu · IEEE Open Journal of the Communications Society · 1
A deep learning–based framework for assessment of class II cavity preparations in preclinical pediatric dentistry education
2026 · Elis Dayan, Mert Yağcıoğlu, et al. · BMC Medical Education
Black's Classification of Caries Lesions
2026 · Yağcıoğlu, Mert, Dayan, Elis · Zenodo (CERN European Organization for Nuclear Research)
Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
2026 · Mert Yağcıoğlu · Balkan Journal of Electrical and Computer Engineering
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An LLM-Powered API Testing Framework Based on Structural Similarity Analysis
2026 · Anıl Sezgin, Tuğberk Kocatekin, et al. · International Symposium on Digital Forensics and Security (ISDFS)
Bilgisayar Bilimleri ve Mühendisliği Alanında Güncel Araştırmalar
2026 · Mürsel Ozan İncetaş, Mert Yağcıoğlu, et al. · Özgür Yayınları eBooks
Yapay Zekâ Destekli Modern Web Uygulamaları: Mimari Yaklaşımlar ve Dağıtım Stratejileri
2026 · Mert Yağcıoğlu · Özgür Yayınları eBooks
A Novel Attention-Based Hybrid Deep Learning Framework for Interpretable Subclass Identification in Paint Manufacturing
2026 · Aziz Kubilay Ovacikli, Mert Yagcioglu · IEEE Transactions on Industrial Informatics
Yapay Zekâ Tabanlı Sistemler: Teori, Uygulama ve Gelecek Perspektifleri-1
2025 · KIYAS KAYAALP, İRFAN KÖSESOY, et al. · Bidge Yayınları eBooks
6g Ağlarinda Performans–güvenli̇k Etki̇leşi̇mi̇: Operasyonel Metri̇kleri̇n Güvenli̇k Doğruluğuna Etki̇si̇
2025 · MERT YAĞCIOĞLU · Bidge Yayınları eBooks
DTW-Based Anomaly Detection and Fault Categorization in Rotating Machinery Using Multi-Modal Sensor Data
2025 · Mert Yağcıoğlu, Aziz Kubilay Ovacıklı · IEEE International Conference on Industry Applications
Machine Learning Based Real Time Indoor Location Tracking System with WiFi RSSI
2025 · Mert Yağcıoğlu · Turkish Journal of Science and Technology
5GDRAIC
2022 · Yağcıoğlu, Mert · Figshare
Works count: 23
Citation count: 70
H-index: 4
I10-index: 3
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