Doç. Dr. MUAMMER TÜRKOĞLU

Yayın Ağı

Makaleler 60

1. Morphological structuring of Atlantic bonito (Scombridae: Sarda sarda) stocks in the southern Black Sea revealed by integrative phenotypic analyses

DURRANI U. K., Bal H., Erbay M., MAZLUM R. E., TÜRKOĞLU M., SEYHAN K.

Estuarine, Coastal and Shelf Science , cilt.333, 2026 (SCI-Expanded, Scopus)

2. Supervised and deep learning techniques for DDoS detection in software-defined network architectures: a systematic review

Polat O., DURMUŞ Ö., Doğan F., TÜRKOĞLU M., Şeker H., Atasoy F., et al.

Engineering Science and Technology, an International Journal , cilt.75, 2026 (SCI-Expanded, Scopus)

3. Age recognition of a semi-pelagic fish (Carangiformes: Carangidae) using a Swin Transformer and Gaussian Process Classifier with otolith images

TÜRKOĞLU M., DÜRRANİ Ö., Polat O., Bal H., Ateşşahin T., İşgüzar S., et al.

Fisheries Research , cilt.294, 2026 (SCI-Expanded, Scopus)

4. Blockchain-Enabled Smart Contract Framework For Secure And Transparent Agricultural Supplychain Management

Tonkal Ö., Parlak N., Küçük D. B., Türkoğlu M.

AgriTR Science , cilt.7, sa.2, ss.64-75, 2025 (Hakemli Dergi)

5. MobileNet- and attention-based MLP-Mixer architecture for geographical-region recognition of a marine fish (Perciformes: Carangidae) using otolith images

Durranı U. K., İşgüzar S., İmak A., Ateşşahin T., Cömert Z., Dürrani S. Z., et al.

Expert Systems with Applications , cilt.291, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

6. Speech signal-based accurate neurological disorders detection using convolutional neural network and recurrent neural network based deep network

Soylu E., Gül S., Koca K., Türkoğlu M., Terzi M., Şengür A.

Engineering Applications of Artificial Intelligence , cilt.149, 2025 (SCI-Expanded, Scopus)

7. Detection of Mental Foramen in Panoramic Radiographs with Artificial Intelligence-based Systems

Çelebi A., Küçük D. B., Adaş G. N., Özcan Küçük A., Türkoğlu M., Atıl F.

Türkiye Sağlık Enstitüleri Başkanlığı Dergisi , cilt.8, sa.1, ss.1-11, 2025 (Hakemli Dergi)

8. Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification

Cömert Z., Efil F., Türkoğlu M.

International Journal of Imaging Systems and Technology , cilt.35, sa.2, 2025 (SCI-Expanded, Scopus)

9. Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs

Küçük D. B., Imak A., Özçelik S. T. A., Çelebi A., Türkoğlu M., Sengur A., et al.

Diagnostics , cilt.15, sa.3, 2025 (SCI-Expanded, Scopus)

10. Mango Leaf Disease Detection Using Deep Feature Extraction and Machine Learning Methods: A Comparative Survey

Ünal Y., TÜRKOĞLU M.

El-Cezeri Journal of Science and Engineering , cilt.12, sa.1, ss.35-43, 2025 (Scopus)

11. Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs

Durmus M., Ergen B., Celebi A., TÜRKOĞLU M.

IEEE Access , cilt.13, ss.6262-6276, 2025 (SCI-Expanded, Scopus)

12. Comparative Detection of DDoS Attacks on Software-Defined 5G Network Data Using Deep Neural Networks and Machine Learning Methods

DURMUŞ Ö., Atasoy F., TÜRKOĞLU M.

IEEE Access , cilt.13, ss.194657-194676, 2025 (SCI-Expanded, Scopus)

13. Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet

Taha Alperen Ozcelik S., Uzen H., Sengur A., Türkoğlu M., Celebi A., Sobahi N. M.

IEEE Access , cilt.13, ss.52353-52368, 2025 (SCI-Expanded, Scopus)

14. A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography

Erdem S., Erdem S., Türkoğlu M., Sengur A., Sobahi N. M.

IEEE Access , cilt.13, ss.15215-15225, 2025 (SCI-Expanded, Scopus)

15. GREEN BOND INDEX PRICE FORECASTING: COMPARATIVE ANALYSIS OF MACHINE LEARNING MODELS

İŞGÜZAR S., FENDOĞLU E., ŞİMŞEK A. İ., TÜRKOĞLU M.

Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi , cilt.46, 2024 (TRDizin)

16. Deep Learning Forecasting Model for Market Demand of Electric Vehicles

Simsek A. I., Koç E., Desticioglu Tasdemir B., AKSÖZ A., TÜRKOĞLU M., Sengur A.

Applied Sciences (Switzerland) , cilt.14, sa.23, 2024 (SCI-Expanded, Scopus)

17. Enhanced Panoramic Radiograph-Based Tooth Segmentation and Identification Using an Attention Gate-Based Encoder–Decoder Network

Özçelik S. T. A., Üzen H., Şengür A., Fırat H., TÜRKOĞLU M., Çelebi A., et al.

Diagnostics , cilt.14, sa.23, 2024 (SCI-Expanded, Scopus)

18. Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelligent Transportation Networks

Polat O., Oyucu S., TÜRKOĞLU M., POLAT H., AKSÖZ A., Yardımcı F.

Applied Sciences (Switzerland) , cilt.14, sa.22, 2024 (SCI-Expanded, Scopus)

19. A novel hybrid attention gate based on vision transformer for the detection of surface defects

Üzen H., TÜRKOĞLU M., Ozturk D., HANBAY D.

Signal, Image and Video Processing , cilt.18, sa.10, ss.6835-6851, 2024 (SCI-Expanded, Scopus)

20. Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet

Çelebi A., Imak A., Üzen H., Budak Ü., TÜRKOĞLU M., HANBAY D., et al.

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology , cilt.138, sa.1, ss.149-161, 2024 (SCI-Expanded, Scopus)

21. Vision Transformer Based Classification of Neurological Disorders from Human Speech

SOYLU E., GÜL S., ASLAN KOCA K., TÜRKOĞLU M., TERZİ M.

Firat University Journal of Experimental and Computational Engineering , cilt.3, sa.2, ss.160-174, 2024 (TRDizin)

22. Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi-channel feature extraction and selection

Sertkaya M. E., Ergen B., TÜRKOĞLU M., TONKAL Ö.

International Journal of Imaging Systems and Technology , cilt.34, sa.3, 2024 (SCI-Expanded, Scopus)

23. FishAgePredictioNet: A multi-stage fish age prediction framework based on segmentation, deep convolution network, and Gaussian process regression with otolith images

İşgüzar S., TÜRKOĞLU M., Ateşşahin T., DURRANI U. K.

Fisheries Research , cilt.271, 2024 (SCI-Expanded, Scopus)

24. Güneş Enerjisi Santrallerinde YOLO Algoritmaları ile Hotspot Kusurlarının Tespiti

Yanılmaz S., Türkoğlu M., Aslan M.

Fırat Üniversitesi Mühendislik Bilimleri Dergisi , cilt.36, 2024 (TRDizin) Sürdürülebilir Kalkınma

25. Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems

Polat O., TÜRKOĞLU M., POLAT H., Oyucu S., Üzen H., Yardımcı F., et al.

Sensors , cilt.24, sa.3, 2024 (SCI-Expanded, Scopus)

26. Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems

Oyucu S., Polat O., TÜRKOĞLU M., POLAT H., AKSÖZ A., Ağdaş M. T.

Sensors , cilt.24, sa.1, 2024 (SCI-Expanded, Scopus)

27. ResNet Tabanlı PSPNet Kullanarak Panoramik Görüntülerde Gömülü Diş Segmentasyon Analizi

DURMUŞ M., ERGEN B., ÇELEBİ A., TÜRKOĞLU M.

Fırat Üniversitesi Mühendislik Bilimleri Dergisi , cilt.36, sa.1, ss.159-166, 2024 (TRDizin)

28. Birleştirilmiş Derin Öznitelikleri Kullanarak BT ve X-Ray Görüntülerinden COVID-19 Tespiti

GÜNAY YILMAZ A., Ayaz E., TÜRKOĞLU M.

Bilgisayar Bilimleri ve Mühendisliği Dergisi , cilt.16, 2023 (TRDizin)

29. ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images

Imak A., Çelebi A., Polat O., TÜRKOĞLU M., Şengür A.

Oral Radiology , cilt.39, sa.4, ss.614-628, 2023 (SCI-Expanded, Scopus)

30. Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection

Üzen H., TÜRKOĞLU M., Aslan M., HANBAY D.

Visual Computer , cilt.39, sa.5, ss.1745-1764, 2023 (SCI-Expanded, Scopus)

31. Multi-dimensional feature extraction-based deep encoder–decoder network for automatic surface defect detection

Uzen H., TÜRKOĞLU M., HANBAY D.

Neural Computing and Applications , cilt.35, sa.4, ss.3263-3282, 2023 (SCI-Expanded, Scopus)

32. InceptionV3 based enriched feature integration network architecture for pixel-level surface defect detection Piksel seviyesinde yüzey hata tespiti için inceptionV3 tabanlı zenginleştirilmiş öznitelik entegrasyon ağ mimarisi

Üzen H., TÜRKOĞLU M., ARI A., HANBAY D.

Journal of the Faculty of Engineering and Architecture of Gazi University , cilt.38, sa.2, ss.721-732, 2023 (SCI-Expanded, Scopus, TRDizin)

33. Making the Discrimination in the Walking Parameters of Individuals with Multiple Sclerosis and Parkinson’s Disease with Machine Learning Multipl Skleroz ve Parkinson Hastalığına Sahip Bireylerin Yürüme Parametrelerindeki Ayrımın Makine Öğrenimi ile Yapılması

Gül S., SOYLU E., Terzi M., TÜRKOĞLU M., KOCA K.

Turk Noroloji Dergisi , cilt.29, sa.4, ss.277-281, 2023 (ESCI, Scopus, TRDizin)

34. Panoramik Diş Görüntülerinde Derin Evrişimsel Sinir Ağına Dayalı Gömülü Diş Tespiti ve Segmentasyonu

DURMUŞ M., ERGEN B., ÇELEBİ A., TÜRKOĞLU M.

Çukurova Üniversitesi Mühendislik Fakültesi dergisi , cilt.38, sa.3, ss.713-724, 2023 (TRDizin)

35. Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects

Üzen H., TÜRKOĞLU M., Yanikoglu B., HANBAY D.

Expert Systems with Applications , cilt.209, 2022 (SCI-Expanded, Scopus)

36. Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection

TÜRKOĞLU M., POLAT H., KOÇAK C., Polat O.

Expert Systems with Applications , cilt.203, 2022 (SCI-Expanded, Scopus)

37. A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks

POLAT H., TÜRKOĞLU M., Polat O., Şengür A.

Expert Systems with Applications , cilt.197, 2022 (SCI-Expanded, Scopus)

38. Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests

TÜRKOĞLU M., HANBAY D., Sengur A.

Journal of Ambient Intelligence and Humanized Computing , cilt.13, sa.7, ss.3335-3345, 2022 (SCI-Expanded, Scopus)

39. Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features

Imak A., Çelebi A., TÜRKOĞLU M., Şengür A.

Neural Processing Letters , cilt.54, sa.3, ss.2107-2126, 2022 (SCI-Expanded, Scopus)

40. Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey

Koç E., TÜRKOĞLU M.

Signal, Image and Video Processing , cilt.16, sa.3, ss.613-621, 2022 (SCI-Expanded, Scopus)

41. PlantDiseaseNet: convolutional neural network ensemble for plant disease and pest detection

TÜRKOĞLU M., Yanikoğlu B., HANBAY D.

Signal, Image and Video Processing , cilt.16, sa.2, ss.301-309, 2022 (SCI-Expanded, Scopus)

42. Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network

Imak A., Celebi A., Siddique K., TÜRKOĞLU M., Sengur A., Salam I.

IEEE Access , cilt.10, ss.18320-18329, 2022 (SCI-Expanded, Scopus)

43. Texture defect classification with multiple pooling and filter ensemble based on deep neural network

Uzen H., TÜRKOĞLU M., HANBAY D.

Expert Systems with Applications , cilt.175, 2021 (SCI-Expanded, Scopus)

44. COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network

TÜRKOĞLU M.

IRBM , cilt.42, sa.4, ss.207-214, 2021 (SCI-Expanded, Scopus)

45. Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory

TÜRKOĞLU M.

Computers and Electronics in Agriculture , cilt.185, 2021 (SCI-Expanded, Scopus)

46. Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images

AĞDAŞ M. T., TÜRKOĞLU M., GÜLSEÇEN S.

Sakarya University Journal of Computer and Information Sciences (Online) , cilt.4, ss.131-141, 2021 (TRDizin)

47. COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble

TÜRKOĞLU M.

Applied Intelligence , cilt.51, sa.3, ss.1213-1226, 2021 (SCI-Expanded, Scopus)

48. Deep rhythm and long short term memory-based drowsiness detection

TÜRKOĞLU M., ALÇİN Ö. F., Aslan M., Al-Zebari A., Sengur A.

Biomedical Signal Processing and Control , cilt.65, 2021 (SCI-Expanded, Scopus)

49. Yumurta kabuğu görüntülerinde kırık tespiti için daha hızlı bölgesel tabanlı çok katmanlı evrişimsel sinir ağları

TÜRKOĞLU M.

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji , cilt.9, sa.1, ss.148-157, 2021 (TRDizin)

50. Evrişimsel Sinir Ağları Kullanılarak Yumurta Kabuğu Kusurlarının Tespiti

TÜRKOĞLU M.

TURKISH JOURNAL OF AGRICULTURE: FOOD SCIENCE AND TECHNOLOGY , cilt.9, sa.3, ss.559-566, 2021 (TRDizin)

51. Brain Tumor Detection using a combination of Bayesian optimization based SVM classifier and fine-tuned based deep features

TÜRKOĞLU M.

Avrupa Bilim ve Teknoloji Dergisi , cilt.0, sa.27, ss.251-258, 2021 (TRDizin)

52. A Multi-Division Convolutional Neural Network-Based Plant Identification System

TÜRKOĞLU M., Aslan M., ARI A., Alçin Z. M., HANBAY D.

PeerJ Computer Science , cilt.7, ss.1-18, 2021 (SCI-Expanded, Scopus)

53. Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN-based VANET

POLAT H., TÜRKOĞLU M., Polat O.

IET Communications , cilt.14, sa.22, ss.4089-4100, 2020 (SCI-Expanded, Scopus)

54. A new pyramidal concatenated CNN approach for environmental sound classification

Demir F., TÜRKOĞLU M., Aslan M., Sengur A.

Applied Acoustics , cilt.170, 2020 (SCI-Expanded, Scopus)

55. Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması

TÜRKOĞLU M., HANBAY K., SARAÇ SİVRİKAYA I., HANBAY D.

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi , cilt.9, sa.1, ss.334-345, 2020 (TRDizin)

56. Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine

TÜRKOĞLU M., HANBAY D.

Physica A: Statistical Mechanics and its Applications , cilt.527, 2019 (SCI-Expanded, Scopus)

57. Recognition of plant leaves: An approach with hybrid features produced by dividing leaf images into two and four parts

TÜRKOĞLU M., HANBAY D.

Applied Mathematics and Computation , cilt.352, ss.1-14, 2019 (SCI-Expanded, Scopus)

58. Plant recognition system based on extreme learning machine by using shearlet transform and new geometric features Shearlet dönüşüm ve yeni geometrik özellikler kullanılarak aşırı öğrenme makinesine dayalı bitki tanıma sistemi

TÜRKOĞLU M., HANBAY D.

Journal of the Faculty of Engineering and Architecture of Gazi University , cilt.34, sa.4, ss.2097-2112, 2019 (SCI-Expanded, Scopus, TRDizin)

59. Plant disease and pest detection using deep learning-based features

TÜRKOĞLU M., HANBAY D.

Turkish Journal of Electrical Engineering and Computer Sciences , cilt.27, sa.3, ss.1636-1651, 2019 (SCI-Expanded, Scopus, TRDizin)

60. Geometrik özelliklere dayalı yaprak tanıma sistemi

TÜRKOĞLU M., HANBAY D.

Türk Doğa ve Fen Dergisi , cilt.5, sa.2, ss.26-30, 2016 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 17

1. Integrating Adaptive Gaussian Precision and Multi-Scale Feature Extraction for Enhanced Diagnosis of Ph-Negative Myeloproliferative Neoplasms in BMT Images

CÖMERT Z., MANGAN E., TÜRKOĞLU M., ŞENGÜR A.

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

2. Artificial Intelligence-Based Detection of Medication-Related Osteonecrosis of the Jaw (MRONJ) in CBCT Images

ÖZCAN KÜÇÜK A., ÇELEBİ A., MENTEŞ A., KÜÇÜK D. B., TÜRKOĞLU M., ATIL F.

ACBİD-2025 18. ULUSLARARASI KONGRESİ 18th INTERNATIONAL CONGRESS, Antalya, Türkiye, 24 - 27 Mayıs 2025, cilt.1, ss.34, (Özet Bildiri)

3. Detection of Mental Foramen in Panoramic Radiography with Artificial Intelligence Based System

ÇELEBİ A., ADAŞ G. N., KÜÇÜK D. B., ÖZCAN KÜÇÜK A., TÜRKOĞLU M., ATIL F.

AÇBİD 2025 18th International Congress, Türkiye, 24 - 27 Nisan 2025, cilt.1, ss.31, (Özet Bildiri)

4. Evaluation of the Accessory Mental Foramen in ConeBeam Computed Tomography Images Using Artificial Intelligence-Based Systems

ÇELEBİ A., AÇIKYOL G., KÜÇÜK D. B., ÖZCAN KÜÇÜK A., TÜRKOĞLU M., ATIL F.

ACBİD 18th International Congress, Antalya, Türkiye, 24 Nisan 2025, (Özet Bildiri)

5. ResNet-based Multiscale Feature Extraction and Attention Mechanism Integration for Hazelnut Disease Classification Findik Hastaliklarinin Siniflandirilmasi i in ResNet Tabanli ok l ekli zellik ikarimi ve Dikkat Mekanizmasi Entegrasyonu

Türkoğlu M., Kucuk D. B., Eren S. N., Cömert Z., Durmuş Ö., Ak K., et al.

33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025, İstanbul, Türkiye, 25 - 28 Haziran 2025, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

6. Artificial Intelligence Assisted Crater Detection for Lunar Surface Landing and Terrain Relative Navigation Ay Y zeyine Inis ve Araziye Bagli Seyr sefer I in Yapay Zeka Destekli Krater Tespiti

Tasgin S., KÜÇÜK D. B., TÜRKOĞLU M.

8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024, Malatya, Türkiye, 21 - 22 Eylül 2024, (Tam Metin Bildiri)

7. Derin Evrişimsel Sinir Ağlarına ve Lineer Diskriminant Analizine Dayalı Video Görüntülerinde Şiddet Tespiti

TÜRKOĞLU M.

EURO ASIA 9th. INTERNATIONAL CONGRESS ON APPLIED SCIENCES, Erzurum, Türkiye, 11 - 12 Ağustos 2021, ss.209-218, (Tam Metin Bildiri)

8. Surface defect detection using deep U-net network architectures Derin U-net aǧ mimarileri kullanarak yüzey hata tespiti

Uzen H., TÜRKOĞLU M., HANBAY D.

29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021, Virtual, Istanbul, Türkiye, 9 - 11 Haziran 2021, (Tam Metin Bildiri)

9. Transfer Öğrenme Yaklaşımına Dayalı Derin Evrişimsel Sinir Ağı Kullanılarak Diş Çürük Tespiti

TÜRKOĞLU M.

International Symposium of Scientific Research and Innovative Studies, Balıkesir, Türkiye, 22 - 25 Şubat 2021, ss.191-193, (Özet Bildiri)

10. DarkNet Mimarisine Dayalı Derin Özellik Aktarımı Öğrenimi Kullanarak Doku Sınıflandırması

TÜRKOĞLU M.

1. ULUSLARARASI MÜHENDİSLİK BİLİMLERİ VE MULTİDİSİPLİNER YAKLAŞIMLAR KONGRESİ, İstanbul, Türkiye, 23 Şubat 2021, ss.198-206, (Tam Metin Bildiri)

11. A deep feature extractor approach for the recognition of pollen-bearing bees Polen taiyan arilann tanmmasi ifin derin ozellik fikanci bir yaklaim

TÜRKOĞLU M., Uzen H., HANBAY D.

28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Türkiye, 5 - 07 Ekim 2020, (Tam Metin Bildiri)

12. Combination of Deep Features and KNN Algorithm for Classification of Leaf-Based Plant Species Yaprak Tabanlz Bitki Tiirlerinin Stntflandirtlmast icin Derin Ozellikler ve KNNAlgoritmastnin Kombinasyonu

TÜRKOĞLU M., HANBAY D.

2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Malatya, Türkiye, 21 - 22 Eylül 2019, (Tam Metin Bildiri)

13. Plant recognition system based on deep features and color-LBP method Derin özelliklere ve renkli-YIÖ yöntemine dayali bitki tanima sistemi

TÜRKOĞLU M., HANBAY D.

27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Türkiye, 24 - 26 Nisan 2019, (Tam Metin Bildiri)

14. Apricot Disease Identification based on Attributes Obtained from Deep Learning Algorithms Derin ögrenme Algoritmalarindan Elde Edilen özniteliklere Dayali Kayisi Hastalik Tespiti

TÜRKOĞLU M., HANBAY D.

2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018, Malatya, Türkiye, 28 - 30 Eylül 2018, (Tam Metin Bildiri)

15. Destek Vektör Makineleri Kullanılarak Renk ve Morfolojik Özelliklere Dayalı Yaprak Tanıma Sistemi

TÜRKOĞLU M., HANBAY D.

International Engineering, Science and Education Conference, Diyarbakır, Türkiye, 1 - 03 Aralık 2016, (Tam Metin Bildiri)

16. Geometrik ve İstatistiksel Özelliklere Dayalı Yaprak Sınıflandırma Sistemi

TÜRKOĞLU M., ALÇİN Ö. F., ÜSTÜNDAĞ M., HANBAY D.

International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Türkiye, 19 - 20 Mart 2016, (Tam Metin Bildiri)

17. Classification of the grape varieties based on leaf recognition by using SVM classifier Destek Vektör Makinalari Kullanilarak Yaprak Tanima ile Üzüm Çeşitlerinin Siniflandirilmasi

TÜRKOĞLU M., HANBAY D.

2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.2674-2677, (Tam Metin Bildiri)

Kitaplar 3

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (Scopus)

1934

H-İndeks (Scopus)

Atıf (Scholar)

2775

H-İndeks (Scholar)

Atıf (TrDizin)

H-İndeks (TrDizin)

Atıf (Diğer Toplam)

Proje

Tez Danışmanlığı

Açık Erişim

BM Sürdürülebilir Kalkınma Amaçları

Yayınlar & Eserler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Atıf (TrDizin)

H-İndeks (TrDizin)

Atıf (Diğer Toplam)

Proje

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Açık Erişim