Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …

Applying machine learning algorithms in the prediction of nanofluids' thermophysical
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …

In the age of the smart city, things like the Internet of Things (IoT) and big data analytics are
making big changes to the way traditional structural health monitoring (SHM) is done. Also …

Terahertz (THz) radiation (THz) shows great potential in agricultural products detection,
biomedical, and security inspection in recent years. Machine learning methods are widely …

Abstract The well-known Density Peak Clustering algorithm (DPC) proposed a heuristic
center detection idea, ie, to find density peaks as cluster centers. Nevertheless, such a …

The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …

Fashion knowledge encourages people to properly dress and faces not only physiological
necessity of users, but also the requirement of social practices and activities. It usually …

The accurate day-ahead prediction of subentry electric energy consumption (SEEC) is a
critical basis for elaborative building energy management. However, most of the current …