Big data analytics has become a significant trend for many businesses as a result of the
daily acquisition of enormous volumes of data. This information has been gathered because …

With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

The stock market is known for its extreme complexity and volatility, and people are always
looking for an accurate and effective way to guide stock trading. Long short-term memory …

Financial markets are highly complex and volatile; thus, accurate forecasting of such
markets is vital to make early alerts about crashes and subsequent recoveries. People have …

Quora is a growing platform comprising a user generated collection of questions and
answers. The questions and answers are created, edited, and organized by the users …

The conventional semantic text-similarity methods requires high amount of trained labeled
data and also human interventions. Generally, it neglects the contextual-information and …

A number of modern techniques for neural network training and recognition enhancement
are based on their structures' symmetry. Such approaches demonstrate impressive results …

Software defect prediction (SDP) exerts a major role in software development, concerning
reducing software costs and ensuring software quality. However, develo** an accurate …

With the prevalence and growing volume of Electronic Health Records (EHRs), there has
been increasing interest in mining EHRs for improving clinical decision support. The …

Natural hazard-triggered technological accidents (Natechs) refer to accidents involving
releases of hazardous materials (hazmat) triggered by natural hazards. Huge economic …