Dr. Öğr. Üyesi Evin Şahin Sadık

Mühendislik Fakültesi

Yayınlar

Yıllara Göre Grafiklerim Türlere Göre Grafiklerim Kapsamına Göre Grafiklerim Endeksine Göre Grafiklerim

Kitaplar

Şahin, S. E. & Özen, P. (2026). AI Model Design and Data Management for Disease Prediction, : IGI GLOBAL

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Anahtar Kelimeler

Özen, P. & Şahin, S. E. (2026). Integrative Machine Learning and Optimization Algorithms for Disease Prediction, : IGI GLOBAL

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Şahin, S. E. (2025). Artificial Intelligence Applications for Brain–Computer Interfaces, : Academic Press

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Şaşmaz, K. N. S. & Şahin, S. E. (2025). HYBRID ARTIFICIAL INTELLIGENCE MODELS: METHODS,OPTIMIZATION, AND APPLICATIONS, : BIDGE Publications

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Şahin, S. E. & Şaşmaz, K. N. S. (2025). HYBRID ARTIFICIAL INTELLIGENCE MODELS: METHODS,OPTIMIZATION, AND APPLICATIONS, : BIDGE Publications

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Şahin, S. E. (2024). Machine Learning and Generative AI in Smart Healthcare, : IGI GLOBAL

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Makaleler

Canseven, H. T., Şahin, S. E., Cömert, M. & Ünsal, A. (2026). Fault Detection and Diagnosis for Multi-Faults of PMSM-Drive Systems Using a Hybrid Machine Learning Method. IET Power Electronics, (), - . 10.1049/pel2.70203Digital

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Özkanat, B. & Şahin, S. E. (2026). Detecting lesions from brain MRI images with adversarial generative networks. Journal of Computational Science, 99(), - . 10.1016/j.jocs.2026.102941

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Canseven, H. T. & Şahin, S. E. (2026). Operational fault diagnosis of autonomous underwater vehicles via a hybrid descriptor-temporal stacking framework. Applied Ocean Research, 173(105172), - . 10.1016/j.apor.2026.105172

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Şahin, S. E. & Canseven, H. T. (2026). Onset-Aware Alarm-Triggered Fault Diagnosis in Collaborative Robots. IEEE Access, 14(),115596 - 115608. 10.1109/ACCESS.2026.3717458

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Şahin, S. E., Saraoğlu, H. M., Canbaz, K. S. & Keskinkılıç, C. (2025). Understanding the relationship between rosemary odor and mental workload through deep learning. Neuroscience, 588(), - . 10.1016/j.neuroscience.2025.09.038

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Sinyal İşleme

Cömert, M., Şahin, S. E. & Ünsal, A. (2025). DATA FUSION BASED MULTIMODAL FAULT DIAGNOSIS IN PERMANENT MAGNET SYNCHRONOUS MOTORS. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(), - . 10.17780/ksujes.1723915

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Özkanat, B. & Şahin, S. E. (2025). Predicting Stroke Risk with Machine Learning and Hyperparameter Optimization. Karadeniz Fen Bilimleri Dergisi, 15(), - . 10.31466/kfbd.1538305

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Şahin, S. E. (2024). MULTI-LEVEL CLASSIFICATION BASED ON DEEP LEARNING FOR ACCURATE RISK STRATIFICATION OF ARRHYTHMIAS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 25(3),427 - 441. 10.18038/estubtda.1466349

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Cardiac Arrhythmias, CNN, Classification, ECG

Şahin, S. E., , S. H. M., , C. K. S. &, K. C. (2023). Deep Learning-Based Approach for Classification Of Mental Tasks From Electroencephalogram Signals. Avicenna Journal of Neuropsychophysiology, 10(1),15 - 21. 10.32592/ajnpp.2023.10.1.102

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Şahin, S. E. (2022). Alzheimer Hastalığının Tespitinde Makine Öğrenmesi Algoritmalarının Karşılaştırılması. European Journal of Science and Technology, (), - . 10.31590/ejosat.1190938

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EEG

Şahin, S. E., , S. H. M., , C. K. S., , T. M., , K. C. &, A. G. (2022). Investigation of the effect of rosemary odor on mental workload using EEG: an artificial intelligence approach. Signal, Image and Video Processing, 16(),497 - 504. 10.1007/s11760-021-01992-5

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Şahin, S. E. (2022). Determination of Glaucoma Disease with Gray Level Co-occurrence Matrix Features. European Journal of Science and Technology, (), - . 10.31590/ejosat.1202569

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K-nearest neighbor

Şahin, S. E., , S. H. M., , C. K. S. &, K. C. (2022). EVALUATION of the RELATIONSHIP BETWEEN EEG BAND POWERS and COGNITIVE TASKS. Journal of Scientific Reports-A, (51),240 - 252.

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EEG

Şahin, S. E., , S. H. M., , G. İ., , E. M. A. &, K. F. E. (2020). Determination of blood glucose parameter from human blood serum by using a quartz crystal microbalance sensor coated with phthalocyanines compounds. Turkish Journal of Chemistry, 44(),1293 - 1302. 10.3906/kim-1911-69

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Bildiriler

Şahin, S. E. (2026). A Hybrid CNN-BIGRU Model with Multi-Head Self-Attention for EEG-Based Sleep Stage Classification, 2026 8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), 21.05.2026

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Canseven, H. T. & Şahin, S. E. (2026). Event-Driven Short-Circuit Fault Classification in SCIG with Confidence-Weighted Aggregation, 2026 18th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 02.07.2026

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Şahin, S. E. (2025). THE IMPACT OF PREPROCESSING METHODS ON TUMOR CLASSIFICATION IN BRAIN MRI IMAGES, 8th INTERNATIONAL SELÇUK SCIENTIFIC RESEARCH CONGRESS, 29.11.2025

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Şahin, S. E. (2022). PREDICTION OF MUSIC EMOTION BY MACHINE LEARNING ALGORITHMS, 1st International Conference on Innovative Academic Studies, 10.09.2022

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Şahin, S. E., , S. H. M., , C. K. S., , T. M. &, A. G. (2021). Comparison of Different Data Augmentation Methods With an Experimental EEG Dataset, 2021 13th International Conference on Electrical and Electronics Engineering (ELECO), 25.11.2021

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Şahin, S. E. (2016). Measurement of glucose levels with Quartz Crystal Microbalance (QCM) based sensor, TIPTEKNO16, 27.10.2016

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Şahin, S. E. (2022). DETERMINATION OF BREAST CANCER USING BLOOD PARAMETERS AND SUPPORT VECTOR MACHINE ALGORITHM, 3. INTERNATIONAL DİCLE SCIENTIFIC RESEARCH AND INNOVATION CONGRESS, 26.11.2022

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Şahin, S. E., , S. H. M., , C. K. S., , T. M. &, A. G. (2021). Artificial Intelligence Approach For Odor Recognition Using Electroencephalogram, II. Uluslararası Sağlıkta Yapay Zeka Kongresi, 16.04.2021

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Karacan, M. H., Şahin, S. E., Şaşmaz, K. N. S. & Saraoğlu, H. M. (2020). EEG Verileri ile Şizofreni Hastalığının Tespit Edilmesi, ULUSLARARASI SAĞLIKTA YAPAY ZEKA KONGRESİ 2020, 16.01.2020

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Editörlükler

Diğer Yayınlar

, (2016). E. Ş. Sadık, H. M. Saraoğlu, M. A. Ebeoğlu, İ. Gürol and F. E. Koçak, “Measurement of glucose levels with Quartz Crystal Microbalance (QCM) based sensor,“ 2016 Medical Technologies National Congress (TIPTEKNO), Antalya, 2016, pp. 1-4., :

Özet Metin

Sensing and measurement methods with Quartz Crystal Microbalance (QCM) based sensors draw attention as an improving application among studies in recent years. This study is carried out for to be basis of studies on glucose level measurement using human blood serum using QCM sensors. In this paper, measurements with QCM sensor system using pure water containing several levels of glucose samples are carried out. Measurement results are analyzed with plots. The obtained results show that QCM based sensors are sensitive, repeatable and reliable sensor applications for blood glucose measurements.

Anahtar Kelimeler

glucose, Quartz Crystal Microbalance, sensor, biosensors, Blood, Diabetes, Liquids