With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Deep neural networks (DNNs) have evolved as a beneficial machine learning method that
has been successfully used in various applications. Currently, DNN is a superior technique …

Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

Metaverse is the buzz technology of the moment raising attention both from academia and
industry. Many stakeholders are considering an extension of their existing applications into …

In recent years, deep learning (DL) based intelligent fault diagnosis method has been widely
applied in the field of equipment fault diagnosis. However, most of the existing methods are …

The concentration of PM 2.5 is one of the main factors in evaluating the air quality in
environmental science. The severe level of PM 2.5 directly affects the public health …

Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …

Short‐term photovoltaic (PV) energy generation forecasting models are important, stabilizing
the power integration between the PV and the smart grid for artificial intelligence‐(AI‐) …

Land use change (LUC) has gained attention as a core topic of global ecological
environment change research. The cellular automata (CA) model affects the global layout …

To exactly classify sentiments of microblog reviews with emojis in microblog social networks,
this paper first proposes an emoji vectorisation method to achieve emoji vectors. Then, an …