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WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
(Pergamon-Elsevıer Scıence Ltd, 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 ...
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism
(Sprınger, 2021)
Coronavirus (COVID-19) is a pandemic, which caused suddenly unexplained pneumonia cases and caused a devastating effect on global public health. Computerized tomography (CT) is one of the most effective tools for COVID-19 ...
An improved residual-based convolutional neural network for very short-term wind power forecasting
(Pergamon-Elsevıer Scıence Ltd, 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 ...
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