Dr. Öğr. Üyesi HATİCE OKUMUŞ

Yayın Ağı

Makaleler 17

1. Robust eggplant disease recognition using a learnable weighted deep ensemble with test-time augmentation

Ergün E., Okumuş H.

Information Processing in Agriculture , cilt.1, sa.1, ss.1-17, 2026 (SCI-Expanded, Scopus)

2. ResNet-Driven Automated Identification of Custard Apple Diseases for Sustainable Smart Agriculture

Ergün E., Okumuş H.

Karadeniz Fen Bilimleri Dergisi , cilt.16, sa.1, ss.102-121, 2026 (TRDizin)

3. A review of photovoltaic plants and battery energy storage systems in terms of power systems stability

Çavdar B., Karaca E., Okumuş H., Nuroğlu F. M.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES , cilt.44, sa.1, ss.663-679, 2026 (ESCI, Scopus)

4. Advanced deep learning for early diagnosis of arsenic-induced dermatological conditions through dermoscopic image evaluation

ERGÜN E., OKUMUŞ H.

Journal of Medical Engineering and Technology , cilt.50, sa.2, ss.129-140, 2026 (Scopus)

5. Power grid inspection using YOLOv8 and advanced machine learning techniques for enhanced defect identification

Okumuş H.

Niğde Ömer Halisdemir University Journal of Engineering Sciences , cilt.15, sa.1, ss.1-11, 2026 (TRDizin)

6. Ensemble learning for short circuit fault location estimation in distribution networks

OKUMUŞ H., NUROĞLU F. M., McLoone S.

Engineering Applications of Artificial Intelligence , cilt.159, 2025 (SCI-Expanded, Scopus)

7. Enhancing Reliability of EV Charging Systems: Open-Circuit Fault Detection Using Advanced Signal Processing and Machine Learning

Okumuş H., Mollahasanoğlu M., Ergün E.

International Journal of Engineering Research and Development , cilt.17, sa.3, ss.525-536, 2025 (TRDizin)

8. Broken Rotor Bar Fault Detection in Induction Motors Through Power Spectral Density to Image Method

Okumuş H., Ergün E.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES , cilt.1, sa.12, ss.1-12, 2025 (ESCI, Scopus)

9. Improving photovoltaic module inspection with convolutional neural networks and classifier integration

Okumuş H.

SIGNAL, IMAGE AND VIDEO PROCESSING , cilt.19, sa.861, ss.1-12, 2025 (SCI-Expanded, Scopus)

10. Development of a Ternary Levels Emotion Classification Model Utilizing Electroencephalography Data Set

Okumuş H., Ergün E.

Konya mühendislik bilimleri dergisi (Online) , cilt.13, sa.2, ss.607-623, 2025 (ESCI, TRDizin)

11. Efficient Power Quality Disturbance Classification Using Teager-Kaiser Energy Operator and Fast Walsh-Hadamard Transform Features

Okumuş H.

Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi , cilt.25, sa.3, ss.535-543, 2025 (TRDizin) Sürdürülebilir Kalkınma

12. Automated Localization of Illegally Connected Irrigation Loads in Smart Grids using RF Mesh Networks

CİVELEK Ö., GÖRMÜŞ S., OKUMUŞ H. İ., Yilmaz H., OKUMUŞ H.

Arabian Journal for Science and Engineering , cilt.50, 2025 (SCI-Expanded, Scopus)

13. Smart Solution for Smart Schools: NFC-Based Attendance System

Sali O., Okumuş H.

International Research Journal of Engineering and Technology (IRJET) , cilt.11, sa.6, ss.491-495, 2024 (Hakemli Dergi)

14. Hardware-Based Novel Applications to Locate Faults in Branched Distribution Systems

OKUMUŞ H., NUROĞLU F. M.

ELECTRIC POWER COMPONENTS AND SYSTEMS , cilt.51, sa.20, ss.2512-2522, 2023 (SCI-Expanded, Scopus)

15. A random forest-based approach for fault location detection in distribution systems

Okumuş H., Nuroğlu F. M.

ELECTRICAL ENGINEERING , cilt.103, sa.1, ss.257-264, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

16. Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder

Okumuş H., Nuroğlu F. M.

EMITTER-INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY , cilt.7, sa.1, ss.384-399, 2019 (ESCI)

17. Modelling the PV System In Order To Obtain Energy Producing Capacity Using Actual System Parameters, Irradiation and Weather Temperature

OKUMUŞ H., NUROĞLU F. M.

Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi , cilt.10, sa.2, ss.40-52, 2018 (TRDizin)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 8

1. Multi-Class Fault Diagnosis in Rotating Machinery With VMD-CWT Feature Fusion and Machine Learning

Okumuş H.

6. Uluslararası Bilimsel Araştırmalar ve Yenilikçi Çalışmalar Sempozyumu (ISSRIS'26), Balıkesir, Türkiye, 11 - 14 Mart 2026, ss.71-78, (Tam Metin Bildiri)

2. Scale-Invariant Feature Transformation and Meta-Ensemble Method for AI-Based Disease Detection in Agriculture

Ergün E., Okumuş H.

33. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SİU 2025), İstanbul, Türkiye, 25 - 28 Haziran 2025, cilt.1, sa.2, ss.1-5, (Tam Metin Bildiri)

3. A Vision Transformer-Based Deep Learning Approach for Lemon Leaf Disease Detection Limon Yaprak Hastaliklarinin Tespiti Için Görsel Dönüştürücü Tabanli Derin Öǧrenme Yöntemi

ERGÜN E., OKUMUŞ H.

9th International Artificial Intelligence and Data Processing Symposium, IDAP 2025, Malatya, Türkiye, 6 - 07 Eylül 2025, (Tam Metin Bildiri)

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

105

H-İndeks (Scholar)

Atıf (Sobiad)

H-İndeks (Sobiad)

Proje

BM Sürdürülebilir Kalkınma Amaçları

Dr. Öğr. Üyesi HATİCE OKUMUŞ

Yayınlar & Eserler

1. Robust eggplant disease recognition using a learnable weighted deep ensemble with test-time augmentation

2. ResNet-Driven Automated Identification of Custard Apple Diseases for Sustainable Smart Agriculture

3. A review of photovoltaic plants and battery energy storage systems in terms of power systems stability

4. Advanced deep learning for early diagnosis of arsenic-induced dermatological conditions through dermoscopic image evaluation

5. Power grid inspection using YOLOv8 and advanced machine learning techniques for enhanced defect identification

6. Ensemble learning for short circuit fault location estimation in distribution networks

7. Enhancing Reliability of EV Charging Systems: Open-Circuit Fault Detection Using Advanced Signal Processing and Machine Learning

8. Broken Rotor Bar Fault Detection in Induction Motors Through Power Spectral Density to Image Method

9. Improving photovoltaic module inspection with convolutional neural networks and classifier integration

10. Development of a Ternary Levels Emotion Classification Model Utilizing Electroencephalography Data Set

11. Efficient Power Quality Disturbance Classification Using Teager-Kaiser Energy Operator and Fast Walsh-Hadamard Transform Features

12. Automated Localization of Illegally Connected Irrigation Loads in Smart Grids using RF Mesh Networks

13. Smart Solution for Smart Schools: NFC-Based Attendance System

14. Hardware-Based Novel Applications to Locate Faults in Branched Distribution Systems

15. A random forest-based approach for fault location detection in distribution systems

16. Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder

17. Modelling the PV System In Order To Obtain Energy Producing Capacity Using Actual System Parameters, Irradiation and Weather Temperature

1. Multi-Class Fault Diagnosis in Rotating Machinery With VMD-CWT Feature Fusion and Machine Learning

2. Scale-Invariant Feature Transformation and Meta-Ensemble Method for AI-Based Disease Detection in Agriculture

3. A Vision Transformer-Based Deep Learning Approach for Lemon Leaf Disease Detection Limon Yaprak Hastaliklarinin Tespiti Için Görsel Dönüştürücü Tabanli Derin Öǧrenme Yöntemi

4. Event Detection and Classification Algorithm Using Wide Area Measurement Systems

5. Power System Event Classification Based on Machine Learning

6. Investigation of the Two Most Discriminative Directions of the Wrist Movement Imagery Tasks

7. Random Forest Classification for Brain Computer Interface Applications

8. Modeling and Simulation of PV Modules with Voltage Feedback in MATLAB/Simuink

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Atıf (Sobiad)

H-İndeks (Sobiad)

Proje