The ability to identify pets via smart home technology is crucial for managing pet health.
However, the present popular object detection method model is too large, support for edge …

The LSTM neural network is often employed for time-series data prediction due to its strong
nonlinear mapping capability and memory effect, allowing for better identification of complex …

Deep learning models based on autoencoders and generative adversarial networks (GANs)
have enabled increasingly realistic face-swapping tasks. Surveillance cameras for detecting …