Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

To ensure security, image encryption algorithms generally include two stages: permutation
and diffusion. The traditional image permutation algorithms include the sort-based …

The rise of machine learning increases the current computing capabilities and paves the
way to novel disruptive applications. In the current era of big data, the application of image …

Automatic political orientation prediction from social media posts has to date proven
successful only in distinguishing between publicly declared liberals and conservatives in the …

Emerging trends in mobile edge computing for developing the efficient healthcare
application such as, remote monitoring of the patients with central electronics clouds (e …

In the current multimedia networked infrastructure, privacy breaches due to cyber-attacks
result in huge economic losses. Despite these threats there is ever increasing demand to …

Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …

Many real-world classification tasks suffer from the class imbalanced problem, in which
some classes are highly underrepresented as compared to other classes. In this paper, we …

Urban water quality is of great importance to our daily lives. Prediction of urban water quality
help control water pollution and protect human health. In this work, we forecast the water …

In this paper, we propose a novel multi-scale fusion framework for low-illumination image
enhancement, which effectively enhances images taken under various low-light conditions …