Yazar "Budak, Ümit" için listeleme
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Classification of physical actions from surface EMG signals using the wavelet packet transform and local binary patterns
Alçin, Ömer Faruk; Budak, Ümit; Aslan, Muzaffer; Akbulut, Yaman; Cömert, Zafer; Akpınar, Muhammed H.; Şengür, Abdulkadir (Institute of Physics Publishing, 2020)Physical action recognition is a hot topic in human-machine interactions. It has potential uses in helping disabled people and in various robotic applications. Electromyography (EMG) signals measure the electrical activity ... -
Electrocardiogram beat classification using deep convolutional neural network techniques
Cömert, Zafer; Akbulut, Yaman; Akpınar, Muhammed H.; Alçin, Ömer Faruk; Budak, Ümit; Aslan, Muzaffer; Şengür, Abdulkadir (Institute of Physics Publishing, 2020)The electrocardiogram (ECG) is a useful method which enables the monitoring of various cardiac conditions, such as arrhythmia and heart rate variability (HRV). ECG beats help to determine various heart failures such as ... -
An improved residual-based convolutional neural network for very short-term wind power forecasting
Yıldız, Ceyhun; Açıkgöz, Hakan; Korkmaz, Deniz; Budak, Ümit (ELSEVIER, 2021)An accurate forecast of wind power is very important in terms of economic dispatch and the operation of power systems. However, effectively mitigating the risks arising from wind power in power system operations greatly ... -
WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
Açıkgöz, Hakan; Budak, Ümit; Korkmaz, Deniz; Yıldız, Ceyhun (Elsevier, 2021)This paper introduces a novel deep neural network (WSFNet) to efficiently forecast multi-step ahead wind speed. WSFNet forms the basis of the stacked convolutional neural network (CNN) with dense connections of different ...