Search Results - "Ibrikci, Turgay"

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  1. 1

    Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications by Gharehchopogh, Farhad Soleimanian, Ucan, Alaettin, Ibrikci, Turgay, Arasteh, Bahman, Isik, Gultekin

    “…Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems…”
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    Journal Article
  2. 2

    PCA Based Clustering for Brain Tumor Segmentation of T1w MRI Images by Kaya, Irem Ersöz, Pehlivanli, Ayça Çakmak, Sekizkardeş, Emine Gezmez, Ibrikçi, Turgay

    “…Highlights • To investigate the performance of the PCA based clustering on MR images. • In order to achieve the goal, the PCA methods were first implemented on…”
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    Journal Article
  3. 3

    An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation by Gharehchopogh, Farhad Soleimanian, Ibrikci, Turgay

    Published in Multimedia tools and applications (01-02-2024)
    “…Image segmentation is one of the most significant and required procedures in pre-processing and analyzing images. Metaheuristic optimization algorithms are…”
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    Journal Article
  4. 4

    Application of Statistical and Artificial Intelligence Techniques for Medium-Term Electrical Energy Forecasting: A Case Study for a Regional Hospital by Timur, Oğuzhan, Zor, Kasım, Çelik, Özgür, Teke, Ahmet, İbrikçi, Turgay

    “…Electrical energy forecasting is crucial for efficient, reliable, and economic operations of hospitals due to serving 365 days a year, 24/7, and they require…”
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    Journal Article Paper
  5. 5

    Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method by Karabulut, Esra Mahsereci, İbrikçi, Turgay

    Published in Journal of medical systems (01-10-2012)
    “…Coronary Artery Disease is a common heart disease related to disorders effecting the heart and blood vessels. Since the disease is one of the leading causes of…”
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    Journal Article
  6. 6

    Effective Automated Prediction of Vertebral Column Pathologies Based on Logistic Model Tree with SMOTE Preprocessing by Karabulut, Esra Mahsereci, Ibrikci, Turgay

    Published in Journal of medical systems (01-05-2014)
    “…This study develops a logistic model tree based automation system based on for accurate recognition of types of vertebral column pathologies. Six biomechanical…”
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    Journal Article
  7. 7

    Emphysema discrimination from raw HRCT images by convolutional neural networks by Karabulut, Esra Mahsereci, Ibrikci, Turgay

    “…Emphysema is a chronic lung disease that causes breathlessness. HRCT is the reliable way of visual demonstration of emphysema in patients. The fact that…”
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    Conference Proceeding
  8. 8

    Classification of biochemical and biomechanical data of diabetic rats treated with magnetic field by pca-supported j48 algorithm by Aykut PELİT, Turgay İBRİKÇİ, Pelin ÖZALP, Bora TAŞTEKİN

    Published in Veteriner fakultesi dergisi (01-11-2019)
    “…The aim of this study was to investigate the J48 mediated decision tree algorithm from the principal component analysis - PCA, which is more complex, one of…”
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    Journal Article
  9. 9

    A Bayesian Scoring Scheme based Particle Swarm Optimization algorithm to identify transcription factor binding sites by Karabulut, Mustafa, Ibrikci, Turgay

    Published in Applied soft computing (01-09-2012)
    “…[Display omitted] ► A PSO algorithm with a proven Bayesian fitness model to find DNA motifs is developed. ► Algorithm adaptations to fit regular PSO to DNA…”
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    Journal Article
  10. 10
  11. 11

    Assessment of clustering algorithms for unsupervised transcription factor binding site discovery by Karabulut, Mustafa, Ibrikci, Turgay

    Published in Expert systems with applications (01-09-2011)
    “…► This paper considers clustering approach for TFBS identification. ► Four clustering algorithms are studied; Self-Organizing Map, K-Means, Fuzzy C-Means and…”
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    Journal Article
  12. 12

    Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques by Rashid, Harun Ur, Ibrikci, Turgay, Paydaş, Semra, Binokay, Figen, Çevik, Ulus

    Published in Expert systems (01-09-2022)
    “…Breast cancer and breast imaging diagnostic procedures are typically carried out using a variety of imaging modalities, including mammography, MRI, and…”
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    Journal Article
  13. 13

    Identification of transcription factor binding sites using Gaussian mixture models by Karabulut, Mustafa, Ibrikci, Turgay

    Published in Expert systems (01-02-2014)
    “…Identification of transcription factor binding sites still remains a challenging problem even though many computational tools have been proposed in the…”
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    Journal Article
  14. 14

    Identification of transcription factor binding sites using G aussian mixture models by Karabulut, Mustafa, Ibrikci, Turgay

    Published in Expert systems (01-02-2014)
    “…Identification of transcription factor binding sites still remains a challenging problem even though many computational tools have been proposed in the…”
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    Journal Article
  15. 15

    Diagnosis of Several Diseases by Using Combined Kernels with Support Vector Machine by Ibrikci, Turgay, Ustun, Deniz, Kaya, Irem Ersoz

    Published in Journal of medical systems (01-06-2012)
    “…Machine learning techniques have gained increasing demand in biomedical research due to capability of extracting complex relationships and correlations among…”
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    Journal Article
  16. 16

    Estimation and Comparison of Probabilistic Temperatures through Using Artificial Neural Networks in Geographic Information Systems Media by Ali Keskiner, Mahmut Çetin, Turgay İbrikçi

    Published in Journal of Agricultural Sciences (JAS) (01-01-2011)
    “…The main objectives of this study are to develop the map of temperatures at 50% probability level through usingArtificial Neural Networks method in Geographic…”
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    Journal Article
  17. 17

    Prediction of disorder with new computational tool: BVDEA by Ersöz Kaya, Irem, Ibrikci, Turgay, Ersoy, Okan K.

    Published in Expert systems with applications (01-11-2011)
    “…► New computational method was proposed for predicting disordered regions in proteins. ► The predictions were performed concerning three structural features of…”
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    Journal Article
  18. 18

    Comparison between Machine Learning Algorithms in the Predicting the Onset of Diabetes by Abed, Mahmood, Ibrikci, Turgay

    “…Diabetes is a standout amongst the most common illnesses on the planet today with high mortality rate, thus one of the greatest medical issues on the planet…”
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    Conference Proceeding
  19. 19

    Recognition of non-speech sounds using Mel-frequency cepstrum coefficients and dynamic time warping method by Disken, Gokay, Ibrikci, Turgay

    “…With the developing technology, speech recognition systems are getting more space in our daily lives. Sounds in our environment are not only pure speech…”
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    Conference Proceeding
  20. 20

    Image Classification of Aerial Images Using CNN-SVM by Copur, Mert, Ozyildirim, Buse Melis, Ibrikci, Turgay

    “…Image classification is a very easy task for humans. Even a three years old child can classify an image instantly and without any doubt. However, teaching…”
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    Conference Proceeding