With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Cyber-attacks and network intrusion have surfaced as major concerns for modern days
applications of the Internet of Things (IoT). The existing intrusion detection and prevention …

Data normalization is one of the pre-processing approaches where the data is either scaled
or transformed to make an equal contribution of each feature. The success of machine …

Prediction of type 2 diabetes (T2D) occurrence allows a person at risk to take actions that
can prevent onset or delay the progression of the disease. In this study, we developed a …

Background Support vector machines (SVM) are a powerful tool to analyze data with a
number of predictors approximately equal or larger than the number of observations …

Object-based image classification for land-cover map** purposes using remote-sensing
imagery has attracted significant attention in recent years. Numerous studies conducted over …

Life of any living being is impossible if it does not have the ability to differentiate between
various things, objects, smell, taste, colors, etc. Human being is a good ability to classify the …

Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …

Background Early diagnosis of coronavirus disease 2019 (COVID-19) is of the utmost
importance but remains challenging. The objective of the current study was to characterize …