With the widespread use of social networks, social recommendation algorithms that add
social relationships between users to recommender systems have been widely applied …

The rapid increase of train speed has brought greater challenges to the safety and reliability
of railway systems. Therefore, it is necessary to monitor the operation status of trains …

Current research on the cascading failure of coupling networks is mostly based on
hierarchical network models and is limited to a single relationship. In reality, many …

In the field of ecommerce, most recommendation algorithms are based on user-item bipartite
graph network (BGN). But this kind of recommendation algorithm is severely lacking in …

Infectious diseases are an important cause of human death. The study of the pathogenesis,
spread regularity, and development trend of infectious diseases not only provides a …

Cyber-physical system (CPS) is the core technology of Industry 4.0. The deterministic
behaviors of the CPS require real-time deterministic guarantee. Therefore, this paper …

This paper explores flexible job-shop scheduling problem (FJSP), using the rolling window
rescheduling strategy. The fuzzy delivery time was considered, which satisfies the …

This paper explores the effects of wearable medical devices (WMDs) in vital sign monitoring,
which is the key to telemedicine rehabilitation. First, 60 young patients were selected from …

Recommendation system is one of the most common applications in the field of big data.
The traditional collaborative filtering recommendation algorithm is directly based on user …

Passenger flow prediction is the key to operation efficiency and safety of urban rail transit
(URT). This paper combines the deep learning (DL) theory and support vector machine …