In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …

Background and objective Fatty liver disease (FLD) is a common clinical complication; it is
associated with high morbidity and mortality. However, an early prediction of FLD patients …

Motivation Sequence-based protein–protein interaction (PPI) prediction represents a
fundamental computational biology problem. To address this problem, extensive research …

Carbon balance is essential to keep ecosystems sustainable and healthy. Net ecosystem
carbon exchange (NEE), which is affected by a bunch of meteorological variables to different …

Gene expression profiling has been widely used to characterize cell status to reflect the
health of the body, to diagnose genetic diseases, etc. In recent years, although the cost of …

Algorithms have never been more important. As the recipes of computer programs,
algorithms rule our lives. Although they can be forces for both good and evil, this is not a …

Transcriptomics technologies are the techniques used to study an organism's transcriptome,
the sum of all of its RNA transcripts. The information content of an organism is recorded in …

In this article, we used the inverse distance weighting (IDW) method to estimate the rainfall
distribution in the middle of Taiwan. We evaluated the relationship between interpolation …

This book is intended to provide fundamental statistical concepts and tools relevant to the
analysis of genetic data arising from population-based association studies. Elementary …