"In the early days, social media was used as a platform to connect people. With the advancements in the social media platforms such as Facebook marketplaces and higher volumes of users engaging social media is currently ...

"The world is shifting towards the higher utilization of renewable energy sources in the road to greener energy which conserves an environmentally friendly atmosphere. The generation of sustainable energy via adopting solar ...

"The use of machine learning (ML) techniques for predicting software defects is the main goal of this study. By addressing challenges including redundancy, correlation, and feature irrelevance, ensemble learning assists ...

"The aim of this study is to develop a predictive model for machines used in the apparel manufacturing industry in Sri Lanka and elsewhere. The Apparel Manufacturing industry is heavily and entirely dependent on an expansive ...

"Overall focus of this project is to analyze the past records and identify the common pattern which can be used to predict the motor claims reported by the customer, whether it is genuine or not. When there is a lot of ...

"The rise of digital media and information distribution have created a major challenge—detecting and stopping fake news. This study examines machine learning, ensemble learning, and deep learning methods for fake news ...

"Customer churn, also known as customer attrition is a major problem that telecommunication service providers in particular face in today’s rapidly growing and competitive telecom landscape in Sri Lanka. Techniques for ...

This research study employs machine learning and textual analysis techniques to examine the US healthcare system through the analysis of Twitter data. By leveraging domain-specific keywords and hashtags, a customized data ...

Nowadays, most of the times, communication happens through social media platforms like Twitter, Facebook and Youtube. Therefore, loads of information produced on a daily basis through social media platforms and online ...