The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …

The paradigm of the Internet of everything (IoE) is advancing toward enriching people's lives
by adding value to the Internet of things (IoT), with connections among people, processes …

Real-time extract transform load (ETL) is the integral part of increasing demand of faster
business decisions targeting large number of modern applications. Multi-source …

Analyzing time-dependent data acquired in a continuous flow is a major challenge for
various fields, such as big data and machine learning. Being able to analyze a large volume …

In this paper, a novel telescopic broad Bayesian learning (TBBL) is proposed for sequential
learning. Conventional broad learning suffers from the singularity problem induced by the …

Companies' productivity is critical in contemporary warehouse environment to maintain
efficiency and competitiveness within their supply chain. Warehousing operations are well …

The booming development of Internet of Vehicles (IoV) has brought new vitality to the
construction of intelligent transportation systems (ITS). At the same time, a huge amount of …

Stress affects individual of all ages as a regular part of life, but excessive and chronic stress
can lead to physical and mental health problems, decreased productivity, and reduced …

The occurrence of any kind of natural disaster will eventually lead to the loss of life and
property. Countries where such disasters occur make every effort to monitor such disasters …

In a multiprocessor system, the task scheduling function is a vital performance to minimize
many issues. A multiprocessor system is applicable for the different multimedia applications …