Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

The diversity of base classifiers and integration of multiple classifiers are two key issues in
the field of ensemble learning. This paper puts forward a hybrid ensemble algorithm …

In recent years cryptographic tokens have gained popularity as they can be used as a form
of emerging alternative financing and as a means of building platforms. The token markets …

The drive for smarter, greener, and more livable cities has led to research towards more
effective solar energy forecasting techniques and their integration into traditional power …

Aiming at the problem that the location of the secondary base station affects the interference
between the primary and secondary systems directly and the reasonable allocation of …

Intelligent transportation is a new type of transportation system, and it can improve the
transport service system through utilizing lots of modern electronic information technologies …

The process of eliminating irrelevant, redundant and noisy features while trying to maintain
less information loss is known as a feature selection problem. Given the vast amount of the …

A properly performing and efficient bond market is widely considered important for the
smooth functioning of trading systems in general. An important feature of the bond market for …

The enormous increase in the number of Internet of Things data sources (sensors, personal
devices and embedded systems) has given rise to a huge amount of unnecessary and …

Early warning of whether an enterprise will be faced with human resource crisis is a new
hotspot in the study of enterprise crisis. This study contributes to early warning of enterprise …