Hamdi Melih Saraoglu

Orcid: 0000-0002-5075-9504

According to our database1, Hamdi Melih Saraoglu authored at least 13 papers between 2007 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Detection of cells in urine sediment by using YOLOv7 segmentation model.
Biomed. Signal Process. Control., 2026

Deep Recurrent Architectures for EEG-Based Classification of Major Psychiatric Disorders: A Comparative Study of LSTM, BiLSTM, GRU, BiGRU, and Their Hybrids.
IEEE Access, 2026

2025
YOLOv8-YOLOv11 Ensemble With Box Fusion for Enhanced Detection of Underrepresented Urine Sediment Particles.
IEEE Access, 2025

YOLOv11-SAMNet: A Hybrid Detection and Segmentation Framework for Urine Sediment Analysis.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 Workshops - Istanbul, Turkey, June 30, 2025

2024
A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals.
Comput. Biol. Medicine, 2024

An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification.
IEEE Access, 2024

2023
EEG-based mental workload estimation of multiple sclerosis patients.
Signal Image Video Process., October, 2023

2022
Investigation of the effect of rosemary odor on mental workload using EEG: an artificial intelligence approach.
Signal Image Video Process., 2022

2011
Singular Spectrum Analysis of Sleep EEG in Insomnia.
J. Medical Syst., 2011

2010
A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks.
Expert Syst. J. Knowl. Eng., 2010

2008
Anesthetic Level Prediction Using a QCM Based E-Nose.
J. Medical Syst., 2008

2007
A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries.
J. Medical Syst., 2007

E-Nose System for Anesthetic Dose Level Detection using Artificial Neural Network.
J. Medical Syst., 2007


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