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Toplam kayıt 12, listelenen: 1-10
A Novel Binary Emperor Penguin Optimizer for Feature Selection Tasks
(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 ...
Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit
(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 ...
Attention-based end-to-end CNN framework for content-based X-ray image retrieval
(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 ...
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 ...
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 ...
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 ...