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Toplam kayıt 22, listelenen: 11-20
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 ...
Unsupervised Medical Image Translation With Adversarial Diffusion Models
(Ieee-Inst Electrical Electronics Engineers Inc, 2023)
Imputation of missing images via source-to-target modality translation can improve diversity in medical imaging protocols. A pervasive approach for synthesizing target images involves one-shot mapping through generative ...
An effective hashing method using W-Shaped contrastive loss for imbalanced datasets
(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 ...
Adaptive diffusion priors for accelerated MRI reconstruction
(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 ...