Sleep stage classification is crucial for sleep state monitoring and health interventions. In
accordance with the standards prescribed by the American Academy of Sleep Medicine, a …

Automatic sleep stage classification is vital for evaluating the quality of sleep.
Conventionally, sleep is monitored using multiple physiological sensors that are …

In recent years, many EEG-based emotion recognition methods have been proposed, which
can achieve good performance on single-subject data. However, when the models are …

Sleep staging is a precondition for the diagnosis and treatment of sleep disorders. However,
how to fully exploit the relationship between spatial features of the brain and sleep stages is …

Constructing a scientific evaluation system of curriculum education quality is an important
content to improve the effectiveness of curriculum ideological and political education …

Accurate bike-sharing demand prediction is crucial for bike allocation rebalancing and
station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit …

Recent advances in artificial intelligence (AI), notably deep learning, have sparked
widespread curiosity with bioinformatics, particularly the challenges presented by medical …

EEG signals of different individuals belong to different domains and have different data
distributions because great individual distinctions exist in EEG signals. The existing methods …

Despite the excellent capabilities of machine learning algorithms, their performance
deteriorates when the distribution of test data differs from the distribution of training data. In …

Human experts scoring sleep according to the American Academy of Sleep Medicine
(AASM) rules are forced to select, for every 30-second epoch, one out of five stages, even if …