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Toplam kayıt 20, 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 ...
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 ...
Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure
(Pergamon-Elsevier Science Ltd, 2023)
Underwater imaging poses significant challenges as water alters the behavior of light in comparison to air or vacuum. Therefore, it is crucial to effectively utilize the unique characteristics of unclear edges in hazy ...
Residual LSTM layered CNN for classification of gastrointestinal tract diseases
(Academic Press Inc Elsevier Science, 2021)
nowadays, considering the number of patients per specialist doctor, the size of the need for automatic medical image analysis methods can be understood. These systems, which are very advantageous compared to manual systems ...