Yavuz Selim Taspinar
Selçuk Üniversitesi
H-index: 16
Asia-Turkey
Top articles of Yavuz Selim Taspinar
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Automated classification of hand-woven and machine-woven carpets based on morphological features using machine learning algorithms | The Journal of The Textile Institute | Melike Isik Burcu Ozulku Ramazan Kursun Yavuz Selim Taspinar Ilkay Cinar | 2024/1/23 |
Monkeypox Skin Lesion Detection with Deep Learning Models and Development of Its Mobile Application | Yavuz Selim Taspinar Ilkay Cinar Ramazan KURSUN Murat KOKLU | 2024 | |
Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models | European Food Research and Technology | Bunyamin Gencturk Sadiye Arsoy Yavuz Selim Taspinar Ilkay Cinar Ramazan Kursun | 2024 |
Automatic Classification and Detection of Faulty Packaging using Deep Learning Algorithms: A Study for Industrial Applications | Intelligent Methods In Engineering Sciences | Irem CATAL Yavuz Selim TAŞPINAR | 2024/3/28 |
INTELLIGENT METHODS IN ENGINEERING SCIENCES | Yavuz Selim TASPINAR Murat SELEK | 2022/12 | |
Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models | Food Science & Nutrition | Hakan Isik Sakir Tasdemir Yavuz Selim Taspinar Ramazan Kursun Ilkay Cinar | 2024/2 |
Beef quality classification with reduced E-nose data features according to beef cut types | Sensors | Ahmet Feyzioglu Yavuz Selim Taspinar | 2023/2/16 |
Malicious UAVs classification using various CNN architectures features and machine learning algorithms | International Journal of 3D Printing Technologies and Digital Industry | Ahmet FEYZİOĞLU Yavuz Selim TASPINAR | 2023/8/1 |
Development of early stage diabetes prediction model based on stacking approach | Tehnički glasnik | Ilkay Cinar Yavuz Selim Taspinar Murat Koklu | 2023/6/15 |
Light weight convolutional neural network and low-dimensional images transformation approach for classification of thermal images | Case Studies in Thermal Engineering | Yavuz Selim Taspinar | 2023/1/1 |
Classification of deep image features of lentil varieties with machine learning techniques | European Food Research and Technology | R. Butuner İ. Cinar Y. S. Taspinar R. Kursun M.H. Calp | 2023 |
Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine | Computers and Electronics in Agriculture | Musa Dogan Yavuz Selim Taspinar Ilkay Cinar Ramazan Kursun Ilker Ali Ozkan | 2023/1/1 |
Detection of Broken Eggs with Deep CNNs and Performance Analysis of Models | Yavuz Selim Taspinar Ilkay Cinar | 2023/9/7 | |
Analysis of Hybrid Artificial Intelligence Models Determining Properly Wear a Face Mask | Authorea Preprints | Murat Koklu Ilkay CINAR Yavuz Selim Taspinar | 2023/4/28 |
Detection of Defects in Soybean Seeds by Extracting Deep Features with SqueezeNet | Murat Koklu Ramazan Kursun Elham Tahsin Yasin Yavuz Selim Taspinar | 2023/9/7 | |
Detection of Defects in Rolled Stainless Steel Plates by Machine Learning Models | International Journal of Applied Mathematics Electronics and Computers | Ahmet FEYZİOĞLU Yavuz Selim Taspinar | 2023/3/31 |
Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques | European Food Research and Technology | Yavuz Selim Taspinar Musa Dogan Ilkay Cinar Ramazan Kursun Ilker Ali Ozkan | 2022/11 |
Classification of Malicious Android Applications Using Naive Bayes and Support Vector Machine Algorithms | International Journal of intelligent systems and applications in engineering | Abdullah Batuhan Yilmaz Yavuz Selim Taspinar Murat Koklu | 2022/5/27 |
CLASSIFICATION OF BISCUIT DEFECT STATES AND FOREIGN OBJECTS USING CNN-BASED FEATURES | Yavuz Selim TASPINAR | 2022/7 | |
Detection of accident situation by machine learning methods using traffic announcements: the case of metropol Istanbul | International journal of applied mathematics electronics and computers | Eren Dağli Mustafa Büber Yavuz Selim Taspinar | 2022/9/30 |
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