Ara
Toplam kayıt 22, listelenen: 11-20
Long Short-Term Memory Network-based Speed Estimation Model of an Asynchronous Motor
(IEEE (Institute of Electrical and Electronics Engineers), 2021)
In this paper, an effective deep rotor speed estimation model of an asynchronous motor is presented. The estimation model is based on the long short-term memory (LSTM) network which is one of the deep learning models. The ...
A Novel Analog Modulation Classification: Discrete Wavelet Transform-Extreme Learning Machine (DWT-ELM)
(Bitlis Eren Üniversitesi, 2021)
The aim of this study is to propose a method using discrete wavelet transform and extreme learning machine (DWT-ELM) in classification of communication signals. Six types of analog modulated signals as “AM”, “DSB”, “USB”, ...
EMG Sinyalleri Kullanılarak GoogLeNet ve Çok Seviyeli DPD ile El Tutma Hareketlerinin Sınıflandırılması
(Fırat University, 2022)
Elektromiyografi (EMG) elektriksel aktiviteyi ölçmek için kullanılan bir yöntemdir. Bu yöntem günümüzde hastalık tespitinde kullanılmasıyla yaygınlaşmış olsa da robotik, protez kontrolü, video oyunları gibi popüler alanlarda ...
A 1-kW wireless power transfer system for electric vehicle charging with hexagonal flat spiral coil
(TÜBİTAK / Turkiye Bilimsel ve Teknik Araştırma Kurumu, 2021)
Wireless power transfer (WPT) technology is getting more attention in these days as a clean, safe, and easy alternative to charging batteries in several power levels. Different coil types and system structures have been ...
Optimal PI Kontrolör Tasarımı için Üçgenler Ağında Lineer Enterpolasyon Yöntemiyle Kararlılık Sınır Yüzeyinin Oluşturulması
(Bitlis Eren Üniversitesi, 2020)
Bu çalışmada, PI parametrelerinin grafiksel olarak hesaplanması için geliştirilen kararlılık sınır eğrisi kullanılarak, yeni bir yaklaşım önerilmiştir. Geleneksel kararlılık sınır eğrisi, kapalı çevrim sistemin karakteristik ...
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
(Elsevier, 2021)
Photovoltaic (PV) power generation has high uncertainties due to the randomness and imbalance nature of solar energy and meteorological parameters. Hence, accurate PV power forecasts are essential in the operation of PV ...
A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals
(IEEE (Institute of Electrical and Electronics Engineers), 2020)
Mild cognitive impairment (MCI) can be an indicator representing the early stage of Alzheimier's disease (AD). AD, which is the most common form of dementia, is a major public health problem worldwide. Efficient detection ...
A New Signal to Image Mapping Procedure and Convolutional Neural Networks for Efficient Schizophrenia Detection in EEG Recordings
(Institute of Electrical and Electronics Engineers Inc., 2022)
Machine learning has been densely used in most computer-aided medical diagnosis systems. These systems not only supported the physician’s decision but also accelerate the necessitated procedures. Electroencephalography ...
When machine learning meets fractional-order chaotic signals: detecting dynamical variations
(Elsevier, 2022)
The challenge of classifying multivariate time series generated by discrete and continuous dynamical systems according to their chaotic or non-chaotic behavior has been studied extensively in the literature. The examination ...
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network
(Elsevier, 2022)
Photovoltaic (PV) power generation is one of the remarkable energy types to provide clean and sustainable energy. Therefore, rapid fault detection and classification of PV modules can help to increase the reliability of ...