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ORCIDHamdi Melih Saraoglu
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2020 – today
- 2026
[j11]Halil Kagan Karpuz, Hamdi Melih Saraoglu, Fatma Emel Koçak:
Detection of cells in urine sediment by using YOLOv7 segmentation model. Biomed. Signal Process. Control. 114: 109275 (2026)- 2025
- [j10]Sania Akhtar
, Muhammad Hanif, Ahmar Rashid, Akhtar Khalil, Ejaz Ahmad Khan, Hamdi Melih Saraoglu:
YOLOv8-YOLOv11 Ensemble With Box Fusion for Enhanced Detection of Underrepresented Urine Sediment Particles. IEEE Access 13: 198506-198522 (2025) - [c1]Sania Akhtar, Muhammad Hanif, Hamdi Melih Saraoglu, Sham Lal, Muhammad Waqas Arshad:
YOLOv11-SAMNet: A Hybrid Detection and Segmentation Framework for Urine Sediment Analysis. ICCSA (Workshops 14) 2025: 241-251 - 2024
- [j9]Sania Akhtar, Muhammad Hanif, Ahmar Rashid, Khursheed Aurangzeb, Ejaz Ahmad Khan, Hamdi Melih Saraoglu, Kamran Javed:
An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification. IEEE Access 12: 59500-59520 (2024) - [j8]Seda Sasmaz Karacan, Hamdi Melih Saraoglu:
A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals. Comput. Biol. Medicine 178: 108728 (2024) - 2023
- [j7]Seda Sasmaz Karacan, Hamdi Melih Saraoglu, Sibel Canbaz Kabay, Gönül Akdag, Cahit Keskinkiliç, Mustafa Tosun:
EEG-based mental workload estimation of multiple sclerosis patients. Signal Image Video Process. 17(7): 3293-3301 (2023) - 2022
- [j6]Evin Sahin Sadik, Hamdi Melih Saraoglu, Sibel Canbaz Kabay, Mustafa Tosun, Cahit Keskinkiliç, Gönül Akdag:
Investigation of the effect of rosemary odor on mental workload using EEG: an artificial intelligence approach. Signal Image Video Process. 16(2): 497-504 (2022)
2010 – 2019
- 2011
- [j5]Serap Aydin, Hamdi Melih Saraoglu, Sadik Kara:
Singular Spectrum Analysis of Sleep EEG in Insomnia. J. Medical Syst. 35(4): 457-461 (2011) - 2010
- [j4]Hamdi Melih Saraoglu, Mehmet Koçan:
A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks. Expert Syst. J. Knowl. Eng. 27(3): 156-165 (2010)
2000 – 2009
- 2008
- [j3]Hamdi Melih Saraoglu, Ahmet Özmen, Mehmet Ali Ebeoglu:
Anesthetic Level Prediction Using a QCM Based E-Nose. J. Medical Syst. 32(3): 251-257 (2008) - 2007
- [j2]Hamdi Melih Saraoglu, Burçak Edin:
E-Nose System for Anesthetic Dose Level Detection using Artificial Neural Network. J. Medical Syst. 31(6): 475-482 (2007) - [j1]Hamdi Melih Saraoglu, Sibel Sanli:
A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries. J. Medical Syst. 31(6): 511-519 (2007)
Coauthor Index
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last updated on 2026-01-14 01:31 CET by the dblp team
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