Konu "Classification" için WoS İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
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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 ... -
Classification of arithmetic mental task performances using EEG and ECG signals
(Springer, 2023)In this study, a classification is done for electroencephalogram (EEG) and electrocardiogram (ECG) records belong to arithmetic tasks with good and bad performances. Thus, it is aimed to evaluate the differentiation in ... -
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 ... -
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 ... -
Pairwise FCM based feature weighting for improved classification of vertebral column disorders
(PERGAMON-ELSEVIER SCIENCE LTD, 2014)In this paper, an innovative data pre-processing method to improve the classification performance and to determine automatically the vertebral column disorders including disk hernia (DH), spondylolisthesis (SL) and normal ... -
Retrosternal Goiter: A couple of classification methods with computed tomograpy findings
(PROFESSIONAL MEDICAL PUBLICATIONS, 2018)Objectives: The retrosternal goiter (RSG), which can be defined by different classification and its incidence between 2% and 26% of all thyroidectomized patients, is a thyroid gland disease. Our aim was to classify RSG ... -
Some remarks on activation function design in complex extreme learning using Schwarz lemma
(Elsevier, 2022)Processing of complex valued data has become a challenge issue in classification problems where artificial neural networks are used as the classifier. This issue particularly arises in design of complex valued activation ...