Do&#231;. Dr. İsmail AKG&#220;L

PEERJ COMPUTER SCIENCE , cilt.11, ss.1-35, 2025 (SCI-Expanded, Scopus)

2. Deep convolutional neural networks for age and gender estimation using an imbalanced dataset of human face images

NEURAL COMPUTING AND APPLICATIONS , cilt.36, sa.34, ss.21839-21858, 2024 (Scopus)

3. Classification of Lung and Colon Cancer Histopathological Images using a Novel Artificial Intelligence Method

Akgül İ., Kaya V., Bal Taştan T.

Artificial Intelligence Studies (AIS) , cilt.7, sa.2, ss.36-52, 2024 (Hakemli Dergi)

4. Detecting terror threat elements using natural language processing

Güler A., Akgül İ.

Journal of Scientific Reports-B , sa.010, ss.1-12, 2024 (Hakemli Dergi)

5. A Pooling Method Developed for Use in Convolutional Neural Networks

CMES - COMPUTER MODELING IN ENGINEERING AND SCIENCES , cilt.141, sa.1, ss.751-770, 2024 (SCI-Expanded, Scopus)

6. A Novel Artificial Intelligence-Based Hybrid System to Improve Breast Cancer Detection Using DCE-MRI

Akgül İ., Kaya V., Karavaş E., Aydın S., Baran A.

BULLETIN OF THE POLISH ACADEMY OF SCIENCES. TECHNICAL SCIENCES , cilt.72, sa. 3, ss.1-11, 2024 (SCI-Expanded, Scopus)

7. Deep Learning Based Models for Detection of Diabetic Retinopathy

Akgül İ., Yavuz Ö. Ç., Yavuz U.

TEHNICKI GLASNIK-TECHNICAL JOURNAL , cilt.17, sa.4, ss.581-587, 2023 (ESCI)

8. Covid-19 detection on x-ray images using a deep learning architecture

Akgül İ., Kaya V., Ünver E., Karavaş E., Baran A., Tuncer S.

JOURNAL OF ENGINEERING RESEARCH , cilt.11, sa.2B, ss.15-26, 2023 (SCI-Expanded, Scopus)

9. Mobile-DenseNet: Detection of building concrete surface cracks using a new fusion technique based on deep learning

Akgül İ., Kaya V., Zencir Tanır Ö.

HELIYON , cilt.9, sa.10, ss.1-11, 2023 (SCI-Expanded, Scopus)

10. A Novel Hybrid Model Based on Machine and Deep Learning Techniques for the Classification of Microalgae

Kaya V., Akgül İ., Tanır Ö. Z.

Phyton-International Journal of Experimental Botany , cilt.92, sa.9, ss.2519-2534, 2023 (SCI-Expanded, Scopus)

11. A novel hybrid system for automatic detection of fish quality from eye and gill color characteristics using transfer learning technique.

PloS one , cilt.18, sa.4, 2023 (SCI-Expanded, Scopus)

12. A Novel Deep Learning Method for Detecting Defects in Mobile Phone Screen Surface Based on Machine Vision

Kaya V., Akgül İ., Zencir Tanır Ö.

SAKARYA UNIVERSITY JOURNAL OF SCIENCE , cilt.27, sa.2, ss.442-451, 2023 (TRDizin)

13. IsVoNet8: A Proposed Deep Learning Model for Classification of Some Fish Species

TARIM BILIMLERI DERGISI , cilt.29, sa.1, ss.298-307, 2023 (SCI-Expanded, Scopus)

14. Classification of skin cancer using VGGNet model structures

Gümüşhane Üniversitesi Fen Bilimleri Dergisi , cilt.13, sa.1, ss.190-198, 2023 (TRDizin)

15. Detection of Defects in Printed Circuit Boards with Machine Learning and Deep Learning Algorithms

Avrupa Bilim ve Teknoloji Dergisi , sa.41, ss.183-186, 2022 (Hakemli Dergi)

16. OBJECT RECOGNITION WITH DEEP LEARNING AND MACHINE LEARNING METHODS

Akgül İ., Aydın Y.

Technological Applied Sciences , cilt.17, sa.4, ss.54-61, 2022 (Hakemli Dergi)

17. REALIZATION OF A YOLO-V3-BASED APPLICATION FOR THE DETECTION OF TICK-BORNE CASES

Engineering Sciences , cilt.17, sa.3, ss.35-41, 2022 (Hakemli Dergi)

18. CLASSIFICATION of CELLS INFECTED with the MALARIA PARASITE with RESNET ARCHITECTURES

Journal of scientific reports-A (Online) , sa.048, ss.42-54, 2022 (TRDizin)

19. Derin Öğrenme Modeli ile Yüz İfadelerinden Duygu Tanıma

AKAR F., AKGÜL İ.

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi , cilt.12, sa.1, ss.69-79, 2022 (TRDizin)

20. Örtülü Bilgi Paylaşımı ile Çalışan Yaratıcılığı Arasındaki İlişkide Algılanan Örgütsel Desteğin Aracı Rolü

Akgül İ., Yavuz U.

JOURNAL OF GRADUATE SCHOOL OF SOCIAL SCIENCES , cilt.25, sa.1, ss.193-213, 2021 (TRDizin)

21. BT ÇALIŞANLARININ YENİLİKÇİ DAVRANIŞLARININ DEMOGRAFİK ÖZELLİKLER AÇISINDAN İNCELENMESİ

Akgül İ., Yavuz U.

Erzincan Üniversitesi Sosyal Bilimler Enstitüsü Dergisi , cilt.12, sa.1, ss.54-72, 2019 (Hakemli Dergi)

22. LİDERLİK STİLLERİ İLE ÖRGÜTSEL BAĞLILIK ARASINDAKİ İLİŞKİDE İŞ TATMİNİNİN ARACILIK ETKİSİ: AKADEMİSYENLER ÜZERİNE BİR ÇALIŞMA

Yücel İ., Akgül İ.

Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi , cilt.17, sa.1, ss.209-226, 2016 (TRDizin)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 10

1. CLASSIFICATION OF BRAIN TUMORS IN MRI WITH DEEP LEARNING MODELS

Kökü E., Akgül İ.

23th INTERNATIONAL İSTANBUL SCIENTIFIC RESEARCH CONGRESS ON LIFE, ENGINEERING, ARCHITECTURE, AND MATHEMATICAL SCIENCES, İstanbul, Türkiye, 20 - 22 Kasım 2025, ss.530-538, (Tam Metin Bildiri)

2. EXAMINATION OF METHODS USED IN OBJECT DETECTION WITH ARTIFICIAL INTELLIGENCE

Evrensel M. E., Akgül İ.

20th INTERNATIONAL İSTANBUL SCIENTIFIC RESEARCH CONGRESS ON LIFE, ENGINEERING, ARCHITECTURE, AND MATHEMATICAL SCIENCES, İstanbul, Türkiye, 21 - 23 Şubat 2025, ss.547-557, (Tam Metin Bildiri)

3. The Effect on Model Performance of Increasing the Batch Size during Training

4th Global Conference on Engineering Research (GLOBCER’24), Balıkesir, Türkiye, 16 - 19 Ekim 2024, ss.14-20, (Tam Metin Bildiri)

4. A REVIEW ON THE SCIENCE OF NATURAL LANGUAGE PROCESSING

Güler A., Akgül İ.

3rd INTERNATIONAL AZERBAIJAN CONGRESS ON LIFE, ENGINEERING, AND APPLIED SCIENCES, Baku, Azerbaycan, 26 - 28 Kasım 2022, ss.126-133, (Tam Metin Bildiri)

5. Classification of Electronic Circuit Elements by Machine Learning Based Methods

6th INTERNATIONAL CONFERENCE ON ADVANCES IN NATURAL & APPLIED SCIENCE, Ağrı, Türkiye, 11 - 13 Ekim 2022, ss.136-140, (Tam Metin Bildiri)

6. Recognition and Classification of Vegetable Types in Agricultural Areas Using the Mobilenet Model Structure

1st International Computer Science, Engineering and Information Technology Congress (ICSITY 2022), Warszawa, Polonya, 29 - 30 Eylül 2022, ss.63-70, (Tam Metin Bildiri)

7. DETECTION BASED ON TRANSFER LEARNING APPROACH FOR PREVENTION AND EARLY DETECTION OF PEACH PLANT DISEASE FROM LEAF IMAGES

USBILIM 2nd International Conference on Artificial Intelligence Studies, Ankara, Türkiye, 17 - 18 Eylül 2022, ss.99-104, (Tam Metin Bildiri)

8. A REVIEW ON ARTIFICIAL NEURAL NETWORKS

Rumeli 1ST International Scientific Research Conference On Sustainable Engineering And Technology (ISRCSET’22), İstanbul, Türkiye, 13 - 15 Mayıs 2022, ss.136-145, (Tam Metin Bildiri)

9. DETECTION OF POTHOLES ON HIGHWAY USING DEEP LEARNING

7th INTERNATIONAL CONGRESS ON ENGINEERING AND TECHNOLOGY MANAGEMENT, İstanbul, Türkiye, 16 - 18 Nisan 2022, ss.361-367, (Tam Metin Bildiri)

10. Koronavirüse Karşı Yüz Maskesi Tespitinin Derin Öğrenme Yöntemleri Kullanılarak İncelenmesi

Akgül İ., Kaya V., Baran A.

4. Uluslararası İpek Yolu Akademik Çalışmalar Sempozyumu, Nevşehir, Türkiye, 17 - 18 Aralık 2020, ss.149-154, (Tam Metin Bildiri)

Kitaplar 4

1. DATA AUGMENTATION METHODS IN ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE: FOUNDATIONS, APPLICATIONS AND FUTURE DIRECTIONS, YÜKSEK AHMET GÜRKAN,AKKOYUN SERKAN, Editör, Livre de Lyon, Lyon, ss.59-70, 2025

2. ACTIVATION FUNCTIONS USED IN ARTIFICIAL NEURAL NETWORKS

Academic Studies in Engineering, Prof. Dr. Çoşkun ÖZALP, Editör, Gece Kitaplığı, Ankara, ss.41-58, 2023

3. OBJECT DETECTION WITH ARTIFICIAL INTELLIGENCE: YOLO APPLICATION

Interdisciplinary Engineering Sciences Concepts, Researches and Applications, Prof. Dr. Serkan Islak, Editör, Livre de Lyon, Lyon, ss.109-126, 2022

4. Learning Performance of Optimization Algorithms in Convolutional Neural Networks: An Application