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A channel selection method for epilepsy seizure prediction
(Institute of Electrical and Electronics Engineers Inc., 2021)
The development of systems that can predict epilepsy seizures in real time offers great hope for epilepsy patients. These systems aim to prevent accidents that patients may experience due to loss of consciousness during ...
Real Time Bicycle Robot Balance Control Using Machine Learning
(Unitech, 2020-12)
Classic control systems leave the place to artificial intelligence control systems. In this study, an exemplary system is realized. In this study, the balance control of a two-wheel bicycle system was carried out. The ...
MYO teknik programlarının nitelikli teknikerler yetiştirebilmesi için ihtiyaç duyulan laboratuvar alt yapısının belirlenmesi: Mekatronik programı örneği
(2016)
The vocational colleges are very important for developing countries. The graduates of these colleges should supply the interposer needs of the industrial companies. So the students who will graduate from vocational colleges ...
Akış kontrol sistemlerinde kullanılan elektrik motorlarının enerji verimliliği üzerine etkileri
(2018)
Verimlilik, üretim sürecini etkileyen en önemli unsurlardan biridir. Dünyada yıldan yıla artmakta olan enerji tüketimi ve kullanılan enerji kaynaklarındaki maliyet artışı, mevcut enerjinin verimli kullanılmasını ...
A study of wet deposition flux using a sequential sampling technique
(2011)
The influence of washout scavenging on the removal processes of SO4 2-, NO3 - and Cl- ions were investigated using sequential rain sampling. For this purpose this study investigates the variation of these ions in precipitation ...
Developing a Graduate Level Embedded System Programming Course Content by Using Blended Programming Methodologies: Text-Based and Graphical
(2014-04-05)
This article deals with identifying the materials and the methods that will be used in this course based on "Embedded System Programming (ESP)" course for Electrical-Electronics Engineering Graduate program of MU Faculty ...
Epileptic seizure prediction for imbalanced datasets
(Institute of Electrical and Electronics Engineers Inc., 2019)
In this study, the methods used in the classification of imbalanced data sets were applied to EEG signals obtained from epilepsy patients and epileptic seizures were estimated. Firstly, the data set was balanced by using ...