… Fastpaced, busy modern lifestyle often make citizens stressed, … (CNN) algorithm model
with advanced machine learning … The dataset used for the model training is obtained with the …

… the early years and deep features in the deep learning era. … influential methods on multiple
datasets and give some detailed … deep networks for facial expression recognition with crowd-…

… we use three different deep neural networks to extract feature … datasets from different sources,
we propose a multi-task learn… Audio-visual event localiza⁃ tion in unconstrained videos[C]/…

… to improve the positioning accuracy and robustness; the machine learning algorithm
recognizes the sound from a specific scene, environment or human body. The technical solution …

… This paper systematically proposed a framework of semantic … The learning algorithms in
semantic analysis for autonomous … model, deep neural network, and reinforcement learning. …