With the increased demand on economy and efficiency of measurement technology, nonintrusive load monitoring (NILM) has received more attention as a cost-effective way to monitor electricity provide feedback users. Deep neural networks have been showing great potential in field disaggregation. In this article, first, new convolutional model based residual blocks is proposed avoid degradation pro...

Emotion on our face can determine feelings, mental state and directly impact decisions. Humans are subjected to undergo an emotional change in relation their living environment or at a present circumstance. These emotions be anger, disgust, fear, sadness, happiness, surprise neutral. Due the intricacy nuance of facial expressions relationship emotions, accurate expression identification remains...

To solve the problem of low efficiency traditional lettuce freshness classification methods and sample damage, we proposed an automatic method based on improved deep residuals convolutional neural network (Im-ResNet). We built image acquisition system to obtain dataset leaves. For improving accuracy, developed for curating Then, a novel that was derived from existing ResNet-50 (which uses ReLU ...

Skilled drivers have the driving behavioral characteristic of pre-sighted following, and similarly intelligent vehicles need accurate prediction future trajectories. The LSTM (Long Short-Term Memory) is a common model trajectory prediction. existing models pay less attention to interactions between target surrounding vehicles. Furthermore, impacts on trajectories vehicle also barely been focus ...

To improve the accuracy of image classification, a kind improved model is proposed. The shortcut added to GoogLeNet inception v1 and several other ways are given, they GRSN1_2, GRSN1_3, GRSN1_4. Among them, information input layer directly output each subsequent in form shortcut. new has advantages multi-size small convolution kernel same network reduce loss. Meanwhile, as number blocks increas...