With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

The continuing expansion of connected and electro-mobility products and services has led
to their ability to rapidly generate very large amounts of data, leading to a demand for …

This paper focuses on analytics of an extremely large dataset of smart grid electricity price
and load, which is difficult to process with conventional computational models. These data …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Agriculture is crucial for the existence of humankind. Agriculture provides a significant
portion of the income for many people all around the world. Additionally, it provides a large …

In recent years, the research on supply chain finance has been mature, in the supply chain
financial risk research, the research on credit risk is mostly. However, there is little research …

Random forest (RF) is an ensemble learning method, and it is considered a reference due to
its excellent performance. Several improvements in RF have been published. A kind of …

Differing from much of the research on overtourism, which has concentrated on urban tourist
destinations, this exploratory study investigates the attitudes of rural communities toward …

With new technologies coming to the market, the Internet of Things (IoT) is one of the
technologies that has gained exponential rise by facilitating Machine to Machine (M2M) …

Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …