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Adapting the threshold of the neurons is employed to control the spiking neuron firing rate to uniquely extract the main features of the input pattern that is in the shape of spike trains. It is shown ...
The vibration signals of rolling bearing are often highly nonstationary and nonlinear, and consequently it is not accurate to extract and identify the characteristics of these signals by the ...
This paper addresses the challenge of improving the efficiency of solar photovoltaic systems, which often suffer from intermittent energy harvesting and suboptimal power extraction methods. Solar ...
This paper presents a reliable ECG signal analysis and classification approach using Discrete Wavelet Transform and Support Vector Machine (SVM). This methodology is made out of three phases, ...
Feature extraction is one of the key links of helicopter fault diagnosis. Wavelet analysis is a new time-frequency analysis method. Wavelet packet analysis is a more precise orthogonal decomposition ...
As Android phones become the mainstream of smartphones, more and more malicious applications are being developed to attack the system and steal user information. Many researches based on machine ...
This paper presents the development of a biosignal-specific processing toolbox (Bio-SP tool) for preprocessing and feature extraction of these physiological signals according to the state-of-the-art ...
Fundamental frequency determination is critical for music and radar signal analysis. In practice, the fundamental frequency is hard to be determined precisely especially when the signal-to-noise ratio ...
Freshwater fish known as bettas have their natural habitats in a number of Southeast Asian nations, including Thailand, Malaysia, Brunei Darussalam, Singapore, Vietnam, and Indonesia. In addition to ...
Deep learning-based high-resolution remote sensing for farmland extraction is a crucial method for obtaining large-scale farmland information. However, variations in crop types, growth conditions, and ...
Radar equipments of stealth platforms such as aircrafts have adopted the newest modern technology to design the signal waveforms. One of the important and effective methods is the hybrid stealth radar ...
Remote sensing image (RSI) target detection methods based on traditional multiscale feature fusion (MSFF) have achieved great success. However, the traditional MSFF method significantly increases the ...