Dr. Öğr. Üyesi HASAN ULUTAŞ

Yayın Ağı

Makaleler 32

1. A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2

ULUTAŞ H.

Scientific Reports , cilt.15, sa.1, 2025 (SCI-Expanded, Scopus)

2. Automated Lumbar Disc Intensity Classification From MRI Scans Using Region-Based CNNs and Transformer Models

ULUTAŞ H., ERKOÇ M. F., Ozbay E., ŞAHİN M. E., Karakus M. O., YÜCE E.

International Journal of Imaging Systems and Technology , cilt.35, sa.6, 2025 (SCI-Expanded, Scopus)

3. An Innovative Hybrid Deep Learning Approach for Enhanced Electrical Power Prediction Using Meteorological Data: GGWO-IEMD/SCPDAE-LSTM-SDPAM/RS Model

Özbay Karakuş M., Şahin M. E., Ulutaş H.

Arabian Journal for Science and Engineering , cilt.50, sa.15, ss.11539-11562, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

4. AI Models for Accurate Bacterial Pneumonia Diagnosis in Chest X-ray Images

Aydın C., Kızılkaya H., Şahin M. E., Ulutaş H.

Bozok Tıp Dergisi , cilt.15, sa.2, ss.169-177, 2025 (TRDizin)

5. CucuNetCNNs: Application of novel ensemble deep neural networks for classification of cucumber leaf disease

Emin Sahin M. E., Özkaya U., Arisoy Ç., Coşar H. İ., Ulutaş H.

Ain Shams Engineering Journal , cilt.16, sa.5, 2025 (SCI-Expanded, Scopus)

6. Comparative Evaluation of Machine Learning and Transformer-Based Deep Learning for Solar Energy Forecasting on a Real-World Dataset

Arslan Z., ŞAHİN M. E., ULUTAŞ H.

Arabian Journal for Science and Engineering , 2025 (SCI-Expanded, Scopus)

7. Innovative Hybrid CNN+ SVM Model for Accurate Covid-19 Detection From CT Images

ULUTAŞ H., COŞAR H. İ., ŞAHİN M. E., ERKOÇ M. F., Yüce E.

Düzce Üniversitesi Bilim ve Teknoloji Dergisi , cilt.13, sa.2, ss.868-892, 2025 (TRDizin) Sürdürülebilir Kalkınma

8. Efficient Cerebral Infarction Segmentation Using U-Net and U-Net3 + Models

Yüce E., Şahin M. E., Ulutaş H., Erkoç M. F.

Journal of Imaging Informatics in Medicine , 2025 (SCI-Expanded, Scopus)

9. A deep learning-based U-Net 3+ technique for segmentation blood cell

Ulutaş H.

Turkish Journal of Science & Technology , cilt.19, sa.2, ss.485-495, 2024 (TRDizin)

10. Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization

Ulutaş H., Günay R. B., Şahin M. E.

Neural Computing and Applications , cilt.36, sa.29, ss.18313-18341, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods

Erkoç M. F., Ulutaş H., Şahin M. E.

International Journal of Imaging Systems and Technology , cilt.34, sa.5, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

12. Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding

Demirkol A. S., Şahin M. E., Karakaya B., Ulutaş H., Ascoli A., Tetzlaff R.

Chaos, Solitons and Fractals , cilt.183, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

13. Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture

Ortataş F. N., Ozkaya U., Şahin M. E., Ulutaş H.

Neural Computing and Applications , cilt.36, sa.9, ss.4603-4622, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

14. Intrusion Detection on CSE-CIC-IDS2018 Dataset Using Machine Learning Methods

COŞAR H. İ., ARISOY Ç., ULUTAŞ H.

Artificial Intelligence Theory and Applications , 2024 (Hakemli Dergi)

15. Detection of OSA Through the Application of Deep Learning on Polysomnography Data

ULUTAŞ H., ARSLAN R. S., ŞAHİN M. E., COŞAR H. İ., ARISOY Ç., KÖKSAL A. S., et al.

Elektronika ir Elektrotechnika , cilt.30, sa.6, ss.29-36, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

16. Image Encryption Implementation by Using Memristor Based Chaotic Systems and DNA Coding

Candan C., Ulutaş H.

Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi , cilt.15, sa.3, ss.309-317, 2023 (TRDizin)

17. End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning

ARSLAN R. S., ULUTAŞ H., KÖKSAL A. S., BAKIR M., Çiftçi B.

Biocybernetics and Biomedical Engineering , cilt.43, sa.4, ss.684-699, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

18. Classification of cucumber leaf diseases on images using innovative ensembles of deep neural networks

Ulutaş H., Emin Sahin M.

Journal of Electronic Imaging , cilt.32, sa.5, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

19. Tree-Based Machine Learning Techniques for Automated Human Sleep Stage Classification

ARSLAN R. S., ULUTAŞ H., KÖKSAL A. S., BAKIR M., Çiftçi B.

Traitement du Signal , cilt.40, sa.4, ss.1385-1400, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

20. Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems

Ulutaş H., Şahin M., Karakus M. O.

Alexandria Engineering Journal , cilt.74, ss.345-358, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images

ŞAHİN M., ULUTAŞ H., Yuce E., ERKOÇ M. F.

Neural Computing and Applications , cilt.35, sa.18, ss.13597-13611, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

22. Sensitive deep learning application on sleep stage scoring by using all PSG data

ARSLAN R. S., ULUTAŞ H., KÖKSAL A. S., BAKIR M., Ciftci B.

NEURAL COMPUTING & APPLICATIONS , cilt.35, sa.10, ss.7495-7508, 2023 (SCI-Expanded, Scopus)

23. Design of Efficient Methods for the Detection of Tomato Leaf Disease Utilizing Proposed Ensemble CNN Model

Ulutaş H., Aslantaş V.

Electronics (Switzerland) , cilt.12, sa.4, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

24. A Fast and Accurate Method for Classifying Tomato Plant Health Status Using Machine Learning and Image Processing

ULUTAŞ H., ASLANTAŞ V.

Elektronika ir Elektrotechnika , cilt.29, sa.2, ss.54-68, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

25. Hassas Arıcılıkta Kullanılması Amacıyla Elektronik Veri Toplama Özellikli Kovan Sisteminin Geliştirilmesi

Yıldız A. K., Ulutaş H., Altın C.

Bozok Tarım ve Doğa Bilimleri Dergisi , cilt.1, sa.2, ss.134-142, 2022 (Hakemli Dergi)

26. Automated sleep scoring system using multi-channel data and machine learning

Arslan R. S., Ulutaş H., Köksal A. S., Bakır M., Çiftci B.

COMPUTERS IN BIOLOGY AND MEDICINE , cilt.146, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

27. Highly sensitive metamaterial-based microwave sensor for the application of milk and dairy products

Abdulkarim Y. I., BAKIR M., Yaşar İ., ULUTAŞ H., Karaaslan M., Alkurt F. Ö., et al.

Applied Optics , cilt.61, sa.8, ss.1972-1981, 2022 (SCI-Expanded, Scopus)

28. A deep learning approach for detecting pneumonia in chest X-rays

Şahin M. E., Ulutaş H., Yüce E.

Avrupa Bilim ve Teknoloji Dergisi , sa.28, ss.562-567, 2021 (TRDizin)

29. Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications

Altın C., Ulutaş H., Orhan E., Er O., Akdoğan V.

Celal Bayar Üniversitesi Fen Bilimleri Dergisi , cilt.17, sa.3, ss.253-260, 2021 (TRDizin)

30. Multi-Focus Image Fusion Based on Shearlet Transform Using Genetic Algorithm. Electronic Letters on ScienceEngineering

AKBULUT H., ASLANTAŞ V., ULUTAŞ H.

Electronic Letters on Science Engineering , cilt.13, sa.3, ss.10-16, 2017 (Hakemli Dergi)

31. Development and Application of RFID Security System for Newborns in Hospitals

ULUTAŞ H., ASLANTAŞ V., AKBULUT H.

Electronic Letters on Science Engineering , cilt.13, sa.3, ss.17-30, 2017 (Hakemli Dergi)

32. Visible Image Watermarking Based on Image Fusion with Shearlet Transform Using Genetic Algorithm

AKBULUT H., ASLANTAŞ V., ULUTAŞ H.

Electronic Letters on Science Engineering , cilt.13, sa.3, ss.1-9, 2017 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 17

1. Rose Petal Multi-Classification with Deep Learning Methods

YILDIZ G., ULUTAŞ H.

5th International Conference on Frontiers in Academic Research, Konya, Türkiye, 25 - 26 Eylül 2025, ss.72, (Özet Bildiri)

2. Leaf Development Tracking Using Image Processing Methods

BÜKER H. D., ÖZBAY KARAKUŞ M., ŞAHİN M. E., ULUTAŞ H.

6th International Conference on Scientific and Academic Research, Konya, Türkiye, 19 - 20 Mart 2025, ss.424-434, (Tam Metin Bildiri)

3. Classification of Cerebral Infarction Using Convolutional Neural Networks

Yüce E., ŞAHİN M. E., ULUTAŞ H., ERKOÇ M. F.

2024 Innovations in Intelligent Systems and Applications Conference (ASYU), 16 - 18 Ekim 2024, (Tam Metin Bildiri)

4. Automated Segmentation of Dental Structures in Panoramic Radiographs Using U-Net 3+

Şahin M. E., Ulutaş H., Süzgen E. E.

8th International Artificial Intelligence and Data Processing Symposium (IDAP’24), Malatya, Türkiye, 21 - 22 Eylül 2024, ss.1-7, (Tam Metin Bildiri)

5. A New Approach to Determine the Milk Lines of Silage Corn Using Image Processing Techniques

Şahin M. E., Ulutaş H., Ortataş F. N.

8. Uluslararası Bilgisayar Bilimleri ve Mühendisliği Konferansı (UBMK 2023), Burdur, Türkiye, 13 - 15 Eylül 2023, (Tam Metin Bildiri)

6. A Novel Method of Obstacle Detection Using Stereo Vision for Unmanned Systems

ORTATAŞ F. N., ŞAHİN M. E., ULUTAŞ H., Yakut U., Koç Y.

2023 11th International Scientific Conference COMPUTER SCIENCE, Sofya, Bulgaristan, 18 - 20 Eylül 2023, (Tam Metin Bildiri)

7. House Price Prediction Using Ensemble Learning Techniques

ULUTAŞ H., ŞAHİN M. E.

2023: International Conference on Recent and Innovative Results in Engineering and Technology, Konya, Türkiye, 16 - 18 Ağustos 2023, ss.103-108, (Tam Metin Bildiri)

8. Autonomous Mapping and Spraying in Precision Agriculture using Unmanned Ground Vehicles

Ortataş F. N., Ulutaş H., Şahin M. E., Ciftci F.

2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023, Sivas, Türkiye, 11 - 13 Ekim 2023, (Tam Metin Bildiri) Sürdürülebilir Kalkınma