Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

The article focuses on solving an important problem of detecting suspicious reviewers in
online discussions on social networks. We have concentrated on a special type of …

Accurate prediction of the average thermal extraction load (ATEL) in hydrothermal heating
systems optimizes energy recovery, though numerical models are constrained by modeling …

Deep learning-based approaches are applied successfully in many fields such as deepFake
identification, big data analysis, voice recognition, and image recognition. Deepfake is the …

This article focuses on the problem of detecting toxicity in online discussions. Toxicity is
currently a serious problem when people are largely influenced by opinions on social …

This article focuses on the problem of detecting disinformation about COVID-19 in online
discussions. As the Internet expands, so does the amount of content on it. In addition to …

Human communication is predominantly expressed through speech and writing, which are
powerful mediums for conveying thoughts and opinions. Researchers have been studying …

As the COVID-19 pandemic swept the globe, social media platforms became an essential
source of information and communication for many. International students, particularly …

There is growing concern that over the past decade, industrialized democratic nations are
becoming increasingly politically polarized. Indeed, elections in the US, UK, France, and …

In current scenario, Wireless Sensor Networks (WSNs) has been applied on variety of
applications such as targets tracking, natural resources investigation, monitoring on …