As a state-of-the-art computer technology, virtual reality (VR) is considered to play an
important role in hel** manufacturing companies stay competitive in the international …

Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

Differential evolution (DE) algorithm is prone to premature convergence and local
optimization in solving complex optimization problems. In order to solve these problems, the …

Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …

The assignment of codes to free-text clinical narratives have long been recognised to be
beneficial for secondary uses such as funding, insurance claim processing and research …

Background Within evidence-based practice (EBP), systematic reviews (SR) are considered
the highest level of evidence in that they summarize the best available research and …

In this work, a methodology for applying semantic-based padding in Convolutional Neural
Networks for Natural Language Processing tasks is proposed. Semantic-based padding …

Feature selection (FS) constitutes a series of processes used to decide which relevant
features/attributes to include and which irrelevant features to exclude for predictive …

As data size increases drastically, its variety also increases. Investigating such
heterogeneous data is one of the most challenging tasks in information management and …