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WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
(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 ...
Electrocardiogram beat classification using deep convolutional neural network techniques
(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 ...
Classification of physical actions from surface EMG signals using the wavelet packet transform and local binary patterns
(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 ...