… neural network (NN) pattern recognition/machine learning … Among them, the LDA algorithm
based on supervised learning … of deep learning algorithms in the artificial intelligence (AI) field…

… This paper introduces a variety of artificial intelligence classification methods of sleep apnea,
including classification based on statistical rules and classification based on deep learning, …

… such as machine learning and non-deep neural networks are difficult … term memory (LSTM)
neural network outperforms most of those … In this study, a hybrid deep learning neural network …

… (CNN) on raw EEG samples for supervised learning of sleep stage prediction, which … We
use the EEG and EOG of polysomnography (PSG) data which have been assessed by medical …

… Concurrently, rapid Chinese advances in artificial intelligence … in multiple military applications
of artificial intelligence could … , intelligent sensing, cognitive computing, machine learning, …

… However, machine learning algorithms and deep learning methods, such as Naive Bayes
(NB) and Convolutional Neural Networks (CNN), are difficult to obtain high recognition and …

… neural networks, this paper introduces seasonal loss and trend loss into recurrent neural
networks … on seasonality modeling and multi-task learning. The suggested method is then …

… It has a wide range of applications in the fields of public security, medical, defense military
and professional filming. In recent years, deep learning technology has greatly promoted the …

… Using MATLAB to develop artificial neural network models for predicting global solar radiation
in Al Ain city–UAE. In: Assi AH (Ed.), Engineering Education and Research Using MATLAB…

… This paper summarizes the applications of common machine learning and deep … , artificial
intelligence will bring new opportunities and promising future for the development of medical …