Ara
Toplam kayıt 52, listelenen: 11-20
Novel active-passive compensator-supercapacitor modeling for low-voltage ride-through capability in DFIG-based wind turbines
(Springer, 2019)
Low-voltage ride-through is important for the operation stability of the system in balanced- and unbalanced-grid-fault-connected doubly fed induction generator-based wind turbines. In this study, a new LVRT capability ...
Classification of sonar echo signals in their reduced sparse forms using complex-valued wavelet neural network
(Springer London Ltd, 2020)
This study aims to identify a method for classifying signals using their reduced sparse forms with a higher degree of accuracy. Many signals, such as sonar, radar, or seismic signals, are either sparse or can be made sparse ...
Development of content-based SMS classification application by using Word2Vec-based feature extraction
(Institution of Engineering and Technology, 2019)
While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer benefits to phone users such as price, easy usage, stable, collective and direct communication, SMS (short message service) is still ...
Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant
(Elsevier, 2021)
The control strategy insures the efficiency, increased production and safety in new and complicated energy conversion systems. To this end, a thermodynamic model that simulates a real geothermal power plant is developed, ...
TAVLAMA BENZETİMİ ALGORİTMASI İLE GENİŞ ÖLÇEKLİ KABLOSUZ ALGILAYICI AĞLARDA LEACH PROTOKOLÜNÜN OPTİMİZASYONU
(Süleyman Demirel Üniversitesi, 2020)
Kablosuz Algılayıcı Ağ (KAA) yapılarında kullanılan algılayıcı düğümler enerji, hız ve bellek kullanımı açısından sınırlı kapasiteye sahiptirler. Bu sınırlı kapasite KAA’larda her bir veri gönderim çevriminde azalmakta ve ...
Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching
(Bellwether Publishing, Ltd., 2020)
The present study aimed to determine the effects of arduino-assisted robotics coding applications integrated into the 5E learning model used in science teaching on students' scientific creativity, robotics attitude and ...
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
(Springer, 2015)
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic ...
TÜRKİYE ERKEKLER BASKETBOL LİGİ MAÇ SONUÇLARININ MAKİNE ÖĞRENMESİ YÖNTEMLERİ İLE TAHMİNİ
(Süleyman Demirel Üniversitesi, 2020)
Basketbol maçları dünyada en çok izlenen spor aktivitelerinden birisidir. Bu popülerlik sonucunda basketbol sporunda bilgi teknolojileri sık sık kullanılmaktadır. İstatistik ve veri depolama sistemlerinin gelişmesiyle maç ...
Prediction of traumatic pathology by classifying thorax trauma using a hybrid method for emergency services
(Institution of Engineering and Technology, 2021)
In recent years, data mining and algorithm-based methods have been used frequently for the prediction and diagnosis of various diseases. Traumas, being one of the significant health problems in the world, are also one of ...
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
(Elsevier Science, 2021)
The Covid-19 pandemic is the most important health disaster that has surrounded the world for the past eight months. There is no clear date yet on when it will end. As of 18 September 2020, more than 31 million people have ...