Prof. Dr. DAVUT HANBAY

Entropy , cilt.26, sa.10, 2024 (SCI-Expanded, Scopus)

8. Novel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devices

Multimedia Tools and Applications , cilt.83, sa.29, ss.72789-72817, 2024 (Scopus)

9. A key review on security and privacy of big data: issues, challenges, and future research directions

Demiroll D., DAŞ R., HANBAY D.

SIGNAL IMAGE AND VIDEO PROCESSING , cilt.17, sa.4, ss.1335-1343, 2023 (SCI-Expanded, Scopus)

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

Uzen H., Turkoglu M., Aslan M., HANBAY D.

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

11. Mikroskobik Kan Hücre Görüntülerinin Güncel Derin Öğrenme Mimarileri ile Bölütlemesi

Toptaş M., HANBAY D.

Mühendislik bilimleri ve araştırmaları dergisi (Online) , cilt.5, sa.1, ss.135-141, 2023 (TRDizin)

12. Hybrid 3D/2D Complete Inception Module and Convolutional Neural Network for Hyperspectral Remote Sensing Image Classification

Firat H., ASKER M. E., BAYINDIR M. İ., HANBAY D.

NEURAL PROCESSING LETTERS , cilt.55, sa.2, ss.1087-1130, 2023 (SCI-Expanded, Scopus)

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

Uzen H., Turkoglu M., HANBAY D.

NEURAL COMPUTING & APPLICATIONS , cilt.35, sa.4, ss.3263-3282, 2023 (SCI-Expanded, Scopus)

14. 3D residual spatial-spectral convolution network for hyperspectral remote sensing image classification

Firat H., ASKER M. E., BAYINDIR M. İ., HANBAY D.

NEURAL COMPUTING & APPLICATIONS , cilt.35, sa.6, ss.4479-4497, 2023 (SCI-Expanded, Scopus)

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

Uzen H., Turkoglu M., Yanikoglu B., HANBAY D.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.209, 2022 (SCI-Expanded, Scopus)

16. A CNN based real-time eye tracker for web mining applications

Donuk K., ARI A., HANBAY D.

MULTIMEDIA TOOLS AND APPLICATIONS , cilt.81, sa.27, ss.39103-39120, 2022 (SCI-Expanded, Scopus)

17. Fully Attentional Network for Low-Resource Academic Machine Translation and Post Editing

Sel İ., HANBAY D.

APPLIED SCIENCES-BASEL , cilt.12, sa.22, 2022 (SCI-Expanded, Scopus)

18. Piksel seviyesinde yüzey hata tespiti için InceptionV3 tabanlı zenginleştirilmiş öznitelik entegrasyon ağ mimarisi

ÜZEN H., türkoğlu m., arı a., Hanbay D.

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi , cilt.38, sa.2, ss.721-732, 2022 (SCI-Expanded, Scopus, TRDizin)

19. Robust optimization of SegNet hyperparameters for skin lesion segmentation

Sahin N., Alpaslan N., HANBAY D.

MULTIMEDIA TOOLS AND APPLICATIONS , cilt.81, sa.25, ss.36031-36051, 2022 (SCI-Expanded, Scopus)

20. Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space

Toptas B., Toptas M., HANBAY D.

JOURNAL OF DIGITAL IMAGING , cilt.35, sa.2, ss.302-319, 2022 (SCI-Expanded, Scopus)

21. SecureRandom Kütüphanesi Kullanarak Yazılımsal Trivium Oluşturma

Avrupa Bilim ve Teknoloji Dergisi , sa.34, ss.639-644, 2022 (Hakemli Dergi)

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

Turkoglu M., Yanikoglu B., HANBAY D.

SIGNAL IMAGE AND VIDEO PROCESSING , cilt.16, sa.2, ss.301-309, 2022 (SCI-Expanded, Scopus)

23. Classification of hyperspectral remote sensing images using different dimension reduction methods with 3D/2D CNN

Firat H., ASKER M. E., HANBAY D.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT , cilt.25, 2022 (ESCI, Scopus)

24. 4CF-Net: New 3D convolutional neural network for spectral spatial classification of hyperspectral remote sensing images

Huseyin F., HANBAY D.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.37, sa.1, ss.439-453, 2022 (SCI-Expanded, Scopus, TRDizin)

25. Comparison of 3D CNN based deep learning architectures using hyperspectral images

Firat H., HANBAY D.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.38, sa.1, ss.521-534, 2022 (SCI-Expanded, Scopus, TRDizin)

26. Retinal blood vessel segmentation using pixel-based feature vector

Toptas B., HANBAY D.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL , cilt.70, 2021 (SCI-Expanded, Scopus)

27. Ön Eğitimli Dil Modelleri Kullanarak Türkçe Tweetlerden Cinsiyet Tespiti

Sel İ., Hanbay D.

Fırat Üniversitesi Mühendislik Bilimleri Dergisi , cilt.33, sa.2, ss.675-684, 2021 (TRDizin)

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

Uzen H., Turkoglu M., HANBAY D.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.175, 2021 (SCI-Expanded, Scopus)

29. A multi-division convolutional neural network-based plant identification system

Turkoglu M., Aslan M., ARI A., Alcin Z. M., HANBAY D.

PEERJ COMPUTER SCIENCE , 2021 (SCI-Expanded, Scopus)

30. Randomness Analysis With Runge Kutta Methods

Computer Science , 2021 (Hakemli Dergi)

31. Saldırı Tespit Sistemlerinde Sınıflandırma Yöntemlerinin Kıyaslanması

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

Anatolian Journal of Computer Science , cilt.6, sa.1, ss.1-10, 2021 (Hakemli Dergi)

32. Prediction of neuropathy, neuropathic pain and kinesiophobia in patients with type 2 diabetes and design of computerized clinical decision support systems by using artificial intelligence

ÖZDEMİR F., ARI A., Kilcik M. H., HANBAY D., ŞAHİN İ.

MEDICAL HYPOTHESES , cilt.143, 2020 (SCI-Expanded, Scopus)

33. A new artificial bee colony algorithm-based color space for fire/flame detection

Toptas B., HANBAY D.

SOFT COMPUTING , cilt.24, sa.14, ss.10481-10492, 2020 (SCI-Expanded, Scopus)

34. Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması

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

35. Brain MR Image Classification Based on Deep Features by Using Extreme Learning Machines

ARI A., ALÇİN Ö. F., HANBAY D.

Biomedical Journal of Scientific & Technical Research , cilt.25, sa.3, ss.19137-19153, 2020 (Hakemli Dergi)

36. A Hybrid Methodology Using Heuristic Methods for Two-Dimensional Cutting and Packing Problem with Rectangular Pieces

Firat H., ALPASLAN N., HANBAY D.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI , cilt.22, sa.4, ss.979-988, 2019 (ESCI, TRDizin)

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

Turkoglu M., HANBAY D., Sengur A.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , 2019 (SCI-Expanded, Scopus)

38. RENKSEL VE DOKUSAL ÖZELLİKLER KULLANARAK ALEV VE ALEV OLMAYAN GÖRÜNTÜ KESİTLERİNİN SINIFLANDIRILMASI

TOPTAŞ B., HANBAY D.

Mühendislik Bilimleri ve Araştırmaları Dergisi , 2019 (Hakemli Dergi)

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

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS , cilt.527, 2019 (SCI-Expanded, Scopus)

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

APPLIED MATHEMATICS AND COMPUTATION , cilt.352, ss.1-14, 2019 (SCI-Expanded, Scopus)

41. EMG Sinyallerinin Kısa Zamanlı Fourier Dönüşüm Özellikleri Kullanılarak Yapay Sinir Ağları ile Sınıflandırılması

ARI A., AYAZ F., HANBAY D.

Fırat Üniversitesi Mühendislik Bilimleri Dergisi , cilt.31, ss.443-451, 2019 (TRDizin)

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

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.27, sa.3, ss.1636-1651, 2019 (SCI-Expanded, Scopus, TRDizin)

43. Plant recognition system based on extreme learning machine by using shearlet transform and new geometric features

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.34, sa.4, ss.2097-2112, 2019 (SCI-Expanded, Scopus, TRDizin)

44. Tumor detection in MR images of regional convolutional neural networks

Ari A., HANBAY D.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.34, sa.3, ss.1396-1409, 2019 (SCI-Expanded, Scopus, TRDizin)

45. An Expert Systems for Brain MR Images Classification by Using Ensemble Neural Network

ARI A., HANBAY D.

Anatolian Science - Bilgisayar Bilimleri Dergisi , cilt.3, sa.2, ss.44-56, 2018 (Hakemli Dergi)

46. Realization of a Hybrid Face Detecting and Verifying System

DİRİK M., HANBAY D., KOCAMAZ A. F.

International Journal of Computer Applications , cilt.179, sa.12, ss.20-25, 2018 (Hakemli Dergi)

47. Deep learning based brain tumor classification and detection system

Ari A., HANBAY D.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.26, sa.5, ss.2275-2286, 2018 (SCI-Expanded, Scopus, TRDizin)

48. Leaf recognition system based on geometric features

Turk Doğa ve Fen Dergisi , cilt.5, sa.2, 2016 (TRDizin)

49. Principal curvatures based rotation invariant algorithms for efficient texture classification

HANBAY K., ALPASLAN N., TALU M. F., HANBAY D.

NEUROCOMPUTING , cilt.199, ss.77-89, 2016 (SCI-Expanded, Scopus)

50. Continuous rotation invariant features for gradient-based texture classification

HANBAY K., ALPASLAN N., TALU M. F., HANBAY D., KARCI A., KOCAMAZ A. F.

COMPUTER VISION AND IMAGE UNDERSTANDING , cilt.132, ss.87-101, 2015 (SCI-Expanded, Scopus)

51. Comparison of intelligent methods for predicting aeration efficiency of high-head conduits

ÜNSAL M., HANBAY D.

KUWAIT JOURNAL OF SCIENCE & ENGINEERING , cilt.39, ss.113-130, 2012 (SCI-Expanded, Scopus)

52. Modeling switched circuits based on wavelet decomposition and neural networks

Hanbay D., Turkoglu I., Demir Y.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.347, sa.3, ss.607-617, 2010 (SCI-Expanded, Scopus)

53. Predicting flow conditions over stepped chutes based on ANFIS

Hanbay D., Baylar A., Ozpolat E.

SOFT COMPUTING , cilt.13, sa.7, ss.701-707, 2009 (SCI-Expanded, Scopus)

54. Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs

Baylar A., Hanbay D., Batan M.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.36, sa.4, ss.8368-8374, 2009 (SCI-Expanded, Scopus)

55. Prediction of aeration efficiency on stepped cascades by using least square support vector machines

HANBAY D., Baylar A., Batan M.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.36, sa.3, ss.4248-4252, 2009 (SCI-Expanded, Scopus)

56. An optimum feature extraction method for texture classification

Avci E., Sengur A., Hanbay D.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.36, sa.3, ss.6036-6043, 2009 (SCI-Expanded, Scopus)

57. An expert system based on least square support vector machines for diagnosis of the valvular heart disease

HANBAY D.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.36, sa.3, ss.4232-4238, 2009 (SCI-Expanded, Scopus)

58. An expert system for predicting aeration performance of weirs by using ANFIS

Baylar A., Hanbay D., Ozpolat E.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.35, sa.3, ss.1214-1222, 2008 (SCI-Expanded, Scopus)

59. An expert system based on wavelet decomposition and neural network for modeling Chua's circuit

Hanbay D., Turkoglu I., Demir Y.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.34, sa.4, ss.2278-2283, 2008 (SCI-Expanded, Scopus)

60. Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks

HANBAY D., Turkoglu I., Demir Y.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.34, sa.2, ss.1038-1043, 2008 (SCI-Expanded, Scopus)

61. An expert Discrete Wavelet Adaptive Network Based Fuzzy Inference System for Digital Modulation Recognition

AVCI E., Hanbay D., VAROL A.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.33, sa.3, ss.582-589, 2007 (SCI-Expanded, Scopus)

62. Prediction of chemical oxygen demand (COD) based on wavelet decomposition and neural networks

Hanbay D., Turkoglu I., Demir Y.

CLEAN-SOIL AIR WATER , cilt.35, sa.3, ss.250-254, 2007 (SCI-Expanded, Scopus)

63. Modeling aeration efficiency of stepped cascades by using ANFIS

Baylar A., Hanbay D., Ozpolat E.

CLEAN-SOIL AIR WATER , cilt.35, sa.2, ss.186-192, 2007 (SCI-Expanded, Scopus)

64. Separation of arteries and veins in retinal fundus images with a new CNN architecture

Toptas B., HANBAY D.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION , cilt.11, sa.4, ss.1512-1522, 1 (ESCI, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 50

1. OPT-AG-VMTE: Integer Linear Programming-Optimized Augmented Graph Approach for Virtual Multicast Tree Embedding in Software Defined Networks

Ayaz F., Alizadeh H., Guler E., KARAKUŞ M., HANBAY D.

2025 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2025, Chisinau, Moldova, 23 - 26 Haziran 2025, (Tam Metin Bildiri)

2. Chaos Based Pixel Scrambling Algorithm Based On Corner Traversal

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

3. Multi-Layer Nonliner Permutation Framework for Lightweight Image Encryption Algorithms

ANKARA INTERNATIONAL CONGRESS ON SCIENTIFIC RESEARCH-X, Ankara, Türkiye, 25 - 27 Haziran 2024, ss.288, (Özet Bildiri)

4. A Novel RGB color plane chaotic scrambling-based image encryption algorithm

İNCE K., İnce C., HANBAY D.

4th International Conference on Innovative Academic Studies (ICIAS 2024), Konya, Türkiye, 12 - 13 Mart 2024, (Özet Bildiri)

5. Kronik Obstrüktif Akciğer Hastalarında Solunum Fonksiyon Test Değerlerinin Yapay Zeka Mimarisi Kullanarak Tahmin Edilmesi

ÖZDEMİR F., SİNANOĞLU B., ALTINTOP GEÇKİL A., İnce C., HANBAY D.

8. Ulusal Fizyoterapi ve Rehabilitasyon Kongresi, Türkiye, 08 Mayıs 2021, (Özet Bildiri)

6. Spastisite Değerlendirilmesinde Yeni Bör Yöntem - Bir Yapay Zeka Modeli - Pilot Çalışma

ÖZDEMİR F., TUTUŞ N., Arslan F., ARI B., HANBAY D., KEREM GÜNEL M.

Uluslararası Sağlıkta Yapay Zeka Kongresi 2020, Türkiye, 16 Ocak 2020, (Özet Bildiri)

7. Kumaş Hatası Tespiti için Entropi ile GeliştirilmişOtomatik Eşikleme Yöntemi

ÜZEN H., FIRAT H., KARCI A., HANBAY D.

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

8. Büyük veri üzerine perspektif bir bakış

DEMİROL D., DAŞ R., HANBAY D.

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

9. Development of CNN architecture for Honey Bees Disease Condition

YEROĞLU C., HANBAY D., ÜZEN H.

2019 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 21 - 22 Eylül 2019, ss.1-5, (Tam Metin Bildiri)

10. Combination of Deep Features and KNN Algorithm for Classification of Leaf-Based Plant Species

2019 International Artificial Intelligence and Data Processing Symposium (IDAP), 21 - 22 Eylül 2019

11. Feature Selection by Using Heuristic Methods for Text Classification

YEROĞLU C., HANBAY D., Sel İ.

2019 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 21 - 22 Eylül 2019, ss.1-6, (Tam Metin Bildiri)

12. Tip 2 Diyabetli Hastalarda Nöropati, Ağrı ve Kinezyofobi Düzeyleri Yapay Sinir Ağı Kullanımı ile Tahmin Edilebilir mİ?

ÖZDEMİR F., ARI A., KILÇIK M. H., HANBAY D., ŞAHİN İ.

7. Ulusal Fizyoterapi ve Rehabilitasyon Kongresi, Türkiye, 18 Nisan 2019, (Özet Bildiri)

13. Tip 2 diyabetli hastalarda nöropati, ağrı ve kinezyofobi düzeyleri yapay sinir ağı kullanımı iletahmin edilebilir mi?

ÖZDEMİR F., ARI A., kılçık m. h., HANBAY D., ŞAHİN İ.

7. ULUSAL VE REHABİLİTASYON KONGRESİ, Ankara, Türkiye, 18 - 20 Nisan 2019, cilt.30, ss.106, (Özet Bildiri)

14. A Perspective Bakes Your Ballistic Power

Demirol D., Das R., HANBAY D.

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

15. E-Mail Classification Using Natural Language Processing

Sel İ., HANBAY D.

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

16. Automatic Thresholding Method Developed With Entropy For Fabric Defect Detection

Uzen H., Firat H., KARCI A., HANBAY D.

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

17. Plant Recognition System based on Deep Features and Color-LBP method

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

18. Feature Selection for Text Classification Using Mutual Information

Sel İ., KARCI A., HANBAY D.

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

19. Derin Öğrenme Algoritmalarından Elde Edilen ÖzniteliklereDayalı Kayısı Hastalık Tespiti

International Conference on Artificial Intelligence and Data Processing (IDAP 2018), 28 - 30 Eylül 2018, ss.805-808, (Tam Metin Bildiri)

20. Biyocografya Tabanlı Optimizasyon ile Yangın Görüntülerinin Ayrıştırılması

Toptaş B., HANBAY D., YEROĞLU C.

International Conference on Artificial Intelligence and Data Processing (IDAP 2018), Malatya, Türkiye, 28 - 30 Eylül 2018, ss.1000-1004, (Tam Metin Bildiri)

21. PIDA Denetçi Parametrelerinin PSO Algoritması ile Belirlenmesi

DONUK K., ÖZBEY N., İNAN M., YEROĞLU C., HANBAY D.

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

22. Apricot Disease Identification based on Attributes Obtained from Deep Learning Algorithms

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

23. Investigation of PIDA Controller Parameters via PSO Algorithm

Donuk K., ÖZBEY N., İnan M., YEROĞLU C., HANBAY D.

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

24. Separation of Fire Images with Biogeography-Based Optimization

TOPTAS B., HANBAY D., YEROĞLU C.

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

25. Alev Görüntülerinde Genetik Algoritma ile Özellik Seçimi

TOPTAŞ B., TOPTAŞ M., ARI A., HANBAY D.

International Conference on Multidisciplinary, Science, Engineering and Technology (IMESET), 2017, 27 - 29 Ekim 2017, (Tam Metin Bildiri)

26. MR Görüntülerinden Aşırı Öğrenme Makinesi TabanlıTümör Tespiti

ARI A., HANBAY D.

International Conference on Multidisciplinary, Science, Engineeringand Technology (IMESET’17 Bitlis), 27 - 29 Ekim 2017, (Özet Bildiri)

27. Flame detection using HSI color space

Toptaş B., HANBAY D.

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 16 - 17 Eylül 2017, (Tam Metin Bildiri)

28. Classification of Visual Stimuli for SSVEP-BasedBrain Computer Interface

ÇİĞ H., HANBAY D.

International Conference on AdvancesandInnovations in Engineering, Elazığ, Türkiye, 10 - 12 Mayıs 2017, ss.1003-1006, (Tam Metin Bildiri)

29. SSVEP Tabanlı Beyin Bilgisayar Arayüzü İçin Görsel Uyaranların Sınıflandırılması

cig h., HANBAY D.

International Conference on Advances and Innovations in Engineering, Elazığ, Türkiye, 10 - 12 Mayıs 2017, ss.1-4, (Tam Metin Bildiri)

30. Leaf Recognition based on Artificial Neural Network

AYAZ F., Ari A., HANBAY D.

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Türkiye, 16 - 17 Eylül 2017, (Tam Metin Bildiri)

31. Robot Arm Control With for SSVEP-Based Brain Signals In Brain Computer Interface

ÇİĞ H., HANBAY D., Tuysuz F.

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Türkiye, 16 - 17 Eylül 2017, (Tam Metin Bildiri)

32. Classification of EMG Signals by LRF-ELM

AYAZ F., Ari A., HANBAY D.

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Türkiye, 16 - 17 Eylül 2017, (Tam Metin Bildiri)

33. Smoke Detection Using Texture and Color Analysis in Videos

TOPTAŞ M., HANBAY D.

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Türkiye, 16 - 17 Eylül 2017, (Tam Metin Bildiri)

34. Leaf Recognition System Based on Color and Morphological Features by Using Support Vector Machines