Search Results - "Özkaya, Umut"

Residual LSTM layered CNN for classification of gastrointestinal tract diseases by Öztürk, Şaban, Özkaya, Umut

“…[Display omitted] •Proposed method provides early diagnosis for clinical treatment.•Proposed CNN+ residual LSTM model can detect polyps in the early…”
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Skin Lesion Segmentation with Improved Convolutional Neural Network by Öztürk, Şaban, Özkaya, Umut

“…Recently, the incidence of skin cancer has increased considerably and is seriously threatening human health. Automatic detection of this disease, where early…”
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Gastrointestinal tract classification using improved LSTM based CNN by Öztürk, Şaban, Özkaya, Umut

“…Automated medical image analysis is a challenging field of research that has become quite widespread recently. This process, which is advantageous in terms of…”
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A miniaturized folded square split ring resonator cell based dual band polarization insensitive metamaterial absorber for C- and Ku-band applications by Berka, Mohammed, Özkaya, Umut, Islam, Tanvir, El Ghzaoui, Mohammed, Varakumari, Samudrala, Das, Sudipta, Mahdjoub, Zoubir

“…In this article, a compact dual-band metamaterial absorber (MMA) is suggested for the purpose of solid materials sensing in the C- and Ku-wireless bands. The…”
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Dimension optimization of multi-band microstrip antennas using deep learning methods by Özkaya, Umut, Seyfi, Levent, Öztürk, Şaban

“…The electromagnetic frequency spectrum is divided into different sub-frequency bands. These sub-frequency bands are allocated for different applications. In…”
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Yere Nüfuz Eden Radar B Tarama Görüntülerinin Az Parametreye Sahip Konvolüsyonel Sinir Ağı İle Değerlendirilmesi by ÖZKAYA, Umut, SEYFİ, Levent

“…Bu çalışmada, Yere Nüfuz eden Radar (YNR) B tarama görüntülerinin analizi için az parametre sayısına sahip K-En Yakın Komşuluk (K-EYK) algoritma tabanlı bir…”
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Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features by Öztürk, Şaban, Özkaya, Umut, Barstuğan, Mücahid

“…Necessary screenings must be performed to control the spread of the COVID‐19 in daily life and to make a preliminary diagnosis of suspicious cases. The long…”
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Residual CNN + Bi-LSTM model to analyze GPR B scan images by Özkaya, Umut, Öztürk, Şaban, Melgani, Farid, Seyfi, Levent

“…In this study, the residual Convolutional Neural Network (CNN) with the Bidirectional Long Short Time Memory (Bi-LSTM) model has proposed for the analysis of…”
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BLOOD DONOR CLASSIFICATION BY USING ANN, KNN AND SVM by Ari, Fatma Betül, Bağdat, Haticenur, Özkaya, Umut

“…In this study, Artificial Neural Networks (ANN), Support Vector Machine (SVM), K-Nearest Neighbour (KNN) algorithms were used to predict blood analysis…”
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Retraction Note: A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models by Ozkaya, Umut, Seyfi, Levent

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The classification of eye diseases from fundus images based on CNN and pretrained models by Samir Benbakreti, Soumia Benbakreti, Umut Ozkaya

“…Visual impairment affects more than a billion people worldwide due to insufficient care or inadequate vision screening. Computer-aided diagnosis using deep…”
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Automatic Target Recognition (ATR) from SAR Imaginary by Using Machine Learning Techniques by Özkaya, Umut

“…Automatic Target Recognition (ATR) in Synthetic aperture radar (SAR) images becomes a very challenging problem owing to containing high level noise. In this…”
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A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models by Ozkaya, Umut, Seyfi, Levent

“…This study proposes a very compact coaxial-fed planar antenna for X band applications. The antenna design includes a tulip-shaped radiator on the FR4…”
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Deep dictionary learning application in GPR B-scan images by Ozkaya, Umut, Seyfi, Levent

“…This paper introduces GPR B-scan database which contains 180 labelled images to facilitate research in developing presentation algorithm for this challenging…”
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Mozaiklenmiş İnsansız Hava Aracı Görüntülerinde Eksik Bölgelerin Exemplar İç Boyaması ile Elde Edilmesi by ÖZKAYA, Umut, MAKİNECİ, Hasan Bilgehan, ÖZTÜRK, Şaban, ORHAN, Osman

“…Bu makalede İnsansız Hava Aracı (İHA) kullanılarak elde edilen yeryüzü görüntüleri ile sayısal yükseklik modeli elde etmek amacıyla mozaikleme işlemi…”
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Mozaiklenmiş İnsansız Hava Aracı görüntülerinde eksik bölgelerin örnek tabanlı iç boyaması ile elde edilmesi by Özkaya,Umut, Makineci,Bilgehan Hasan, Öztürk,Şaban, Orhan,Osman

“…Bu makalede İnsansız Hava Aracı (İHA) kullanılarak elde edilen hava görüntüleri ile sayısal yükseklik modelinde kullanılmak üzere mozaikleme işlemi…”
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Determination of the Amount of Grain in Silos With Deep Learning Methods Based on Radar Spectrogram Data by Duysak, Huseyin, Ozkaya, Umut, Yigit, Enes

“…Since the grain is a crucial food source, the determination of the quantity of stored grain in silos is inevitable in terms of commercial and correct inventory…”
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GPR B scan image analysis with deep learning methods by Ozkaya, Umut, Melgani, Farid, Belete Bejiga, Mesay, Seyfi, Levent, Donelli, Massimo

“…•GPR data is analyzed with deep neural network structure.•Proposed CSVM models have higher performance than other deep learning methods.•As seen in comparative…”
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RETRACTED ARTICLE: A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models by Ozkaya, Umut, Seyfi, Levent

“…This study proposes a very compact coaxial-fed planar antenna for X band applications. The antenna design includes a tulip-shaped radiator on the FR4…”
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Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture by Ortatas, Fatma Nur, Ozkaya, Umut, Sahin, Muhammet Emin, Ulutas, Hasan

“…The main objective of this study is to develop a method for the automated detection and classification of weeds and sugar beets. Precision agriculture is an…”
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