Yayın tarihi için Elektrik Elektronik Mühendisliği Makaleler listeleme
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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 ... -
Optimal I-PD controller design for setpoint tracking of integrating processes with time delay
(The Institution of Engineering and Technology, 2020)Processes including one or more integrators in their transfer functions can frequently be encountered in industry. In this study, integral-proportional-derivative (I-PD) controllers are proposed to control these type of ... -
On a yearly basis prediction of soil water content utilizing sar data: A machine learning and feature selection approach
(Turkiye Klinikleri, 2020)Soil water content (SWC) performs an important role in many areas including agriculture, drought cases, usage of water resources, hydrology, crop diseases and aerology. However, the measurement of the SWC over large terrains ... -
Neutron yield and ion production with respect to cathode radius in spherical plasma focus
(Erol Kurt, 2020)The effect of the cathode radius variation (from 11.5 cm to 17 cm) on neutron yield, discharge current, plasma temperature, and ion properties (velocity, energy, and density) are investigated in this study using the developed ... -
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 ... -
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, ... -
Performance comparison of a dual-ridge horn antenna and a planar monopole antenna in the microwave breast cancer detection
(Advanced Electromagnetics, 2020)Detection of the breast cancer tumors at an early stage is very crucial for a successful treatment. Microwave measurement systems have gained attention for this aim over the past decades. This paper, firstly mentions the ... -
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
(Wiley, 2021)COVID-19 was first reported as an unknown group of pneumonia in Wuhan City, Hubei province of China in late December of 2019. The rapid increase in the number of cases diagnosed with COVID-19 and the lack of experienced ... -
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) ... -
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 ...
