This study proposes a feedforward deep neural network to predict the parameters of the lithium-ion battery in electric …, mileage, voltage, velocity, and state-of-charge. The proposed inverse model is superior to the feedforward deep neural network … virtual functions into a deep neural network model's inverse model can improve the accuracy of battery and electric vehicle …

scatterplot smoothing (STL) is used to decompose the data into three subcomponents. Second, two heterogeneous deep neural network …

this article, we have proposed a deep neural network-based intrusion detection system to identify malicious packets in real …