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Random fully connected layered 1D CNN for solving the Z-bus loss allocation problem
(Elsevier Sci Ltd, 2021)
Power loss allocation methods should be efficient enough to meet the needs of the customers on the bus and effectively calculate the losses from generators and consumers. In order to perform these tasks, a highly robust ...
Class-driven content-based medical image retrieval using hash codes of deep features
(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 ...
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 ...
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
(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 ...
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals
(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 ...
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 ...
