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Toplam kayıt 25, listelenen: 11-20
Content-based medical image retrieval with opponent class adaptive margin loss
(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 ...
Residual CNN plus Bi-LSTM model to analyze GPR B scan images
(Elsevier, 2021)
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 Ground Penetrating Radar B scan (GPR B Scan) images. GPR ...
Comparative Regression Analysis for Estimating Resonant Frequency of C-Like Patch Antennas
(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), ...
Hash Code Generation using Deep Feature Selection Guided Siamese Network for Content-Based Medical Image Retrieval
(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 ...
Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval
(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 ...
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
(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 ...
Dimension optimization of multi-band microstrip antennas using deep learning methods
(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 ...
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
(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 ...
Obtaining missing areas with exemplar inpainting in mosaic unmanned aerial vehicle images
(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 ...
Mozaiklenmiş insansız hava aracı görüntülerinde eksik bölgelerin örnek tabanlı iç boyaması ile elde edilmesi
(2021)
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 ...