Yazar "Ozturk, Saban" için listeleme
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An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
Sindi, Hatem; Nour, Majid; Rawa, Muhyaddin; Ozturk, Saban; Polat, Kemal (Pergamon-Elsevier Science Ltd, 2021)Distributed generation (DG) sources are preferred to meet today's energy needs effectively. The addition of many different types of renewable energy sources to the grid causes various problems in signal quality. Detection ... -
Adaptive diffusion priors for accelerated MRI reconstruction
Gungor, Alper; Dar, Salman U. H.; Ozturk, Saban; Korkmaz, Yilmaz; Bedel, Hasan A.; Elmas, Gokberk; Ozbey, Muzaffer (Elsevier, 2023)Deep MRI reconstruction is commonly performed with conditional models that de-alias undersampled acquisitions to recover images consistent with fully-sampled data. Since conditional models are trained with knowledge of the ... -
Attention-based end-to-end CNN framework for content-based X-ray image retrieval
Ozturk, Saban; Alhudhaif, Adi; Polat, Kemal (Tubitak Scientific & Technological Research Council Turkey, 2021)The widespread use of medical imaging devices allows deep analysis of diseases. However, the task of examining medical images increases the burden of specialist doctors. Computer-assisted systems provide an effective ... -
Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit
Yigit, Enes; Ozkaya, Umut; Ozturk, Saban; Singh, Dilbag; Gritli, Hassene (Hindawi Ltd, 2021)Power quality disturbance (PQD) is essential for devices consuming electricity and meeting today's energy trends. This study contains an effective artificial intelligence (AI) framework for analyzing single or composite ... -
Class-driven content-based medical image retrieval using hash codes of deep features
Ozturk, Saban (Elsevier Sci Ltd, 2021)Medical imaging provides the convenience of physicians to analyze the disease by providing visual data of the body parts required for clinical research and treatment. Today, increasing medical images following technological ... -
Comparative Regression Analysis for Estimating Resonant Frequency of C-Like Patch Antennas
Ozkaya, Umut; Yigit, Enes; Seyfi, Levent; Ozturk, Saban; Singh, Dilbag (Hindawi Ltd, 2021)This study provides a comparative analysis of regression techniques to estimate the operating frequency of the C-like microstrip antenna. The performance of well-known regression techniques such as linear regression (LR), ... -
Content-based medical image retrieval with opponent class adaptive margin loss
Ozturk, Saban; Celik, Emin; Cukur, Tolga (Elsevier Science Inc, 2023)The increasing utilization of medical imaging technology with digital storage capabilities has facilitated the compilation of large-scale data repositories. Fast access to image samples with similar appearance to suspected ... -
Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval
Ozturk, Saban (Elsevier Science Bv, 2021)This study investigates the suitability of sparse vectors in the dictionary learning (DL) method for content-based image retrieval (CBIR) tasks. Since DL usually performs the learning process in an unsupervised manner, it ... -
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
Ozturk, Saban; Cukur, Tolga (Ieee-Inst Electrical Electronics Engineers Inc, 2022)Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate when diagnosed at early stages. Learning-based methods hold significant promise for the detection of melanoma from dermoscopic ... -
Dimension optimization of multi-band microstrip antennas using deep learning methods
Ozkaya, Umut; Seyfi, Levent; Ozturk, Saban (Pamukkale Univ, 2021)The electromagnetic frequency spectrum is divided into different sub-frequency bands. These sub-frequency bands are allocated for different applications. In these days, devices operating in multiple sub-frequency bands ... -
An effective hashing method using W-Shaped contrastive loss for imbalanced datasets
Alenezi, Fayadh; Ozturk, Saban; Armghan, Ammar; Polat, Kemal (Pergamon-Elsevier Science Ltd, 2022)The extraction of informative features from medical images and the retrieving of similar images from data repositories is vital for clinical decision support systems. Unlike general tasks such as medical image classification ... -
Focal Modulation Based End-to-End Multi-Label Classification for Chest X-ray Image Classification
Ozturk, Saban; Cukur, Tolga (Ieee, 2023)Chest X-ray imaging is of critical importance in order to effectively diagnose chest diseases, which are increasing today due to various environmental and hereditary factors. Although chest X-ray is the most commonly used ... -
Focal modulation network for lung segmentation in chest X-ray images
Ozturk, Saban; Cukur, Tolga (Tubitak Scientific & Technological Research Council Turkey, 2023)Segmentation of lung regions is of key importance for the automatic analysis of Chest X-Ray (CXR) images, which have a vital role in the detection of various pulmonary diseases. Precise identification of lung regions is ... -
Hash Code Generation using Deep Feature Selection Guided Siamese Network for Content-Based Medical Image Retrieval
Ozturk, Saban (Gazi Univ, 2021)It is very pleasing for human health that medical knowledge has increased and the technological infrastructure improves medical systems. The widespread use of medical imaging devices has been instrumental in saving lives ... -
HIC-net: A deep convolutional neural network model for classification of histopathological breast images
Ozturk, Saban; Akdemir, Bayram (PERGAMON-ELSEVIER SCIENCE LTD, 2019)In this study, a convolutional neural network (CNN) model is presented to automatically identify cancerous areas on whole-slide histopathological images (WSI). The proposed WSI classification network (HIC-net) architecture ... -
Mozaiklenmiş insansız hava aracı görüntülerinde eksik bölgelerin örnek tabanlı iç boyaması ile elde edilmesi
Bu makalede İnsansız Hava Aracı (İHA) kullanılarak elde edilen hava görüntüleri ile sayısalyükseklik modelinde kullanılmak üzere mozaikleme işlemi uygulanmıştır. Görüntülerkompakt kameralı, döner kanatlı, endüstriyel bir ... -
A Novel Binary Emperor Penguin Optimizer for Feature Selection Tasks
Kalra, Minakshi; Kumar, Vijay; Kaur, Manjit; Idris, Sahar Ahmed; Ozturk, Saban; Alshazly, Hammam (Tech Science Press, 2022)Nowadays, due to the increase in information resources, the number of parameters and complexity of feature vectors increases. Optimization methods offer more practical solutions instead of exact solutions for the solution ... -
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals
Nour, Majid; Ozturk, Saban; Polat, Kemal (Springer London Ltd, 2021)The most effective way to communicate between the brain and electronic devices in the outside world is the brain-computer interface (BCI) systems. BCI systems use signals of being through neural activity in the brain to ... -
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
Sindi, Hatem; Nour, Majid; Rawa, Muhyaddin; Ozturk, Saban; Polat, Kemal (Pergamon-Elsevier Science Ltd, 2021)As a result of the widespread use of power electronic equipment and the increase in consumption, the importance of effective energy policies and the smart grid begins to increase. Nonlinear loads and other loads in electric ... -
Obtaining missing areas with exemplar inpainting in mosaic unmanned aerial vehicle images
Ozkaya, Umut; Makineci, Bilgehan Hasan; Ozturk, Saban; Orhan, Osman (Geomatik Journal, 2021)In this article, mosaic process was applied to use in digital elevation model of terrestrial images by using Unmanned Aerial Vehicle (UAV). Images acquired with an industrial UAV with a compact camera, rotary-wing, at 120 ...
