Hamdi Melih Saraoglu

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Recurrent Architectures for EEG-Based Classification of Major Psychiatric Disorders: A Comparative Study of LSTM, BiLSTM, GRU, BiGRU, and Their Hybrids.
IEEE Access
Osman Çetin, Hamdi Melih Saraoglu
2026 J jnl
Detection of cells in urine sediment by using YOLOv7 segmentation model.
Biomed. Signal Process. Control.
Halil Kagan Karpuz, Hamdi Melih Saraoglu, Fatma Emel Koçak
2025 — conf
YOLOv11-SAMNet: A Hybrid Detection and Segmentation Framework for Urine Sediment Analysis.
ICCSA (Workshops 14)
Sania Akhtar, Muhammad Hanif, Hamdi Melih Saraoglu, Sham Lal, Muhammad Waqas Arshad
2025 J jnl
YOLOv8-YOLOv11 Ensemble With Box Fusion for Enhanced Detection of Underrepresented Urine Sediment Particles.
IEEE Access
Sania Akhtar, Muhammad Hanif, Ahmar Rashid, Akhtar Khalil, Ejaz Ahmad Khan, Hamdi Melih Saraoglu
2024 J jnl
A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals.
Comput. Biol. Medicine
Seda Sasmaz Karacan, Hamdi Melih Saraoglu
2024 J jnl
An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification.
IEEE Access
Sania Akhtar, Muhammad Hanif, Ahmar Rashid, Khursheed Aurangzeb, Ejaz Ahmad Khan, Hamdi Melih Saraoglu, Kamran Javed
2023 J jnl
EEG-based mental workload estimation of multiple sclerosis patients.
Signal Image Video Process.
Seda Sasmaz Karacan, Hamdi Melih Saraoglu, Sibel Canbaz Kabay, Gönül Akdag, Cahit Keskinkiliç, Mustafa Tosun
2022 J jnl
Investigation of the effect of rosemary odor on mental workload using EEG: an artificial intelligence approach.
Signal Image Video Process.
Evin Sahin Sadik, Hamdi Melih Saraoglu, Sibel Canbaz Kabay, Mustafa Tosun, Cahit Keskinkiliç, Gönül Akdag
2011 J jnl
Singular Spectrum Analysis of Sleep EEG in Insomnia.
J. Medical Syst.
Serap Aydin, Hamdi Melih Saraoglu, Sadik Kara
2010 J jnl
A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks.
Expert Syst. J. Knowl. Eng.
Hamdi Melih Saraoglu, Mehmet Koçan
2008 J jnl
Anesthetic Level Prediction Using a QCM Based E-Nose.
J. Medical Syst.
Hamdi Melih Saraoglu, Ahmet Özmen, Mehmet Ali Ebeoglu
2007 J jnl
A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries.
J. Medical Syst.
Hamdi Melih Saraoglu, Sibel Sanli
2007 J jnl
E-Nose System for Anesthetic Dose Level Detection using Artificial Neural Network.
J. Medical Syst.
Hamdi Melih Saraoglu, Burçak Edin