Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

This article discusses the pitfalls and opportunities of AI in marketing through the lenses of
knowledge creation and knowledge transfer. First, we discuss the notion of “higher-order …

In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

In the financial world, the forecasting of stock price gains significant attraction. For the growth
of shareholders in a company's stock, stock price prediction has a great consideration to …

Rain streaks can severely degrade the visibility, which causes many current computer vision
algorithms fail to work. So it is necessary to remove the rain from images. We propose a …

Deep learning constitutes a recent, modern technique for image processing and data
analysis, with promising results and large potential. As deep learning has been successfully …