Browsing Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu by WoS Q Value "Q2"
Now showing items 1-9 of 9
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Analysis of epileptic iEEG data by applying convolutional neural networks to low-frequency scalograms
(IEEE-Institute of Electrical Electronics Engineers INC., 2021)In this paper, Convolutional Neural Networks (CNN) method was applied to low frequency scalograms in order to contribute to the development of diagnostic and early diagnosis systems of epileptic intracranial EEG (iEEG) ... -
Automatic detection of schizophrenia by applying deep learning over spectrogram images of EEG signals
(International Information and Engineering Technology Association, 2020)This study presents a method that aims to automatically diagnose Schizophrenia (SZ) patients by using EEG recordings. Unlike many literature studies, the proposed method does not manually extract features from EEG recordings, ... -
Determining optimal SVC location for voltage stability using multi-criteria decision making based solution: Analytic hierarchy process (AHP) approach
(IEEE-Institute of Electrical Electronics Engineers INC., 2021)Due to latest blackouts in the world, voltage instability and voltage collapse have become the main issues studied in electrical power systems. For this purpose, various Flexible AC Transmission Systems (FACTS) devices ... -
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals
(Springer, 2022)Psychotic disorders are mental disorders that negatively affect human life. Diagnosis of psychotic patients is usually done in consultation with the patient, and this is a time-consuming process. In this study, a Computer ... -
Epilepsy detection by using scalogram based convolutional neural network from eeg signals
(MDPI AG, 2019)The studies implemented with Electroencephalogram (EEG) signals are progressing veryrapidly and brain computer interfaces (BCI) and disease determinations are carried out at certainsuccess rates thanks to new methods ... -
Instruction of molecular structure similarity and scaffolds of drugs under investigation in ebola virus treatment by atom-pair and graph network: A combination of favipiravir and molnupiravir
(Elsevier Ltd, 2022)The virus that causes Ebola is fatal. Although many researchers have attempted to contain this deadly infection, the fatality rate remains high. The atom-pair fingerprint technique was used to compare drugs suggested for ... -
Local pattern transformation-based convolutional neural network for sleep stage scoring
(Elsevier Ltd, 2023)Sleep stage scoring is essential for the diagnosis and treatment of sleep disorders. However, manual sleep scoring is a tedious, time-consuming, and subjective task. Therefore, this paper proposes a novel framework based ... -
Soil moisture estimation over vegetated agricultural areas: Tigris Basin, Turkey from Radarsat-2 data by polarimetric decomposition models and a generalized regression neural network
(MDPI, 2017)Determining the soil moisture in agricultural fields is a significant parameter to use irrigation systems efficiently. In contrast to standard soil moisture measurements, good results might be acquired in a shorter time ... -
Soil moisture inversion via semiempirical and machine learning methods with full-polarization radarsat-2 and polarimetric target decomposition data: A comparative study
(Institute of Electrical and Electronics Engineers Inc., 2020)In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods. The semiempirical models and machine learning ...
