Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Internet of Things (IoT) is a huge network and establishes ubiquitous connections between
smart devices and objects. The flourishing of IoT leads to an unprecedented data explosion …

The Internet-of-Things (IoT) technology is widely used in various fields. In the Earth
observation system, hyperspectral images (HSIs) are acquired by hyperspectral sensors and …

In the production and construction of industry, safety accidents caused by unsafe behaviors
of staff often occur. In a complex construction site scene, due to improper operations by …

Recommender Systems are designed to analysis the available data in the system to predict
user's desires and provide appropriate personalized suggestions to each user that suits their …

China's commercial Bank shares have become the backbone of the capital market. The
prediction of a bank's stock price has been a hot topic in the investment field. However, the …

Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …

Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …

Recommender systems are of great significance for mining the data generated by the
Internet of Things (IoT) and are important for the intelligent IoT systems. The traditional …