Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …

Machine learning enables intrusion detection systems to detect network attacks adaptively
and intelligently. Recently deep neural network has been investigated as such a solution …

Identifying the chicken meat freshness level is necessary since it involves the quality of the
meat consumed. This research aims at identifying the freshness level of chicken meat based …

Cyber-security systems collect information from multiple security sensors to detect network
intrusions and their models. As attacks become more complex and security systems …

The problem faced by the e-commerce industry in determining customer loyalty is that it is
very difficult to be classified into the form of promotions every year to customers who are …

A huge amount of illegitimate short message service (SMS) messages flood users' mobile
phone inbox and worsen users' experiences. This paper presents an automated framework …

Support vector machine (SVM) is a popular classification method for the analysis of wide
range of data including big data. Many SVM methods with feature selection have been …

In human immunodeficiency virus (HIV) infection, virus replication in and adaptation to the
central nervous system (CNS) can result in neurocognitive deficits in approximately 25% of …

Deep learning is a thing of tomorrow which is causing a complete drift from shallow
architecture to deep architecture and an estimate shows that by 2017 about 10% of …

Machine translation is used in many applications in everyday life. Due to the increase of
translated documents that need to be organized as useful or not (for building a translation …