Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews IEEE BASE PAPER ABSTRACT: Online marketplaces often witness opinion spam in the form of reviews. People are often hired to target specific brands for promoting or impeding them by writing …
Defensive Modeling of Fake News Through Online Social Networks IEEE BASE PAPER ABSTRACT: Online social networks (OSNs) have become an integral mode of communication among people and even nonhuman scenarios can also be integrated into OSNs. The ever growing rise …
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition IEEE BASE PAPER ABSTRACT: Automatic detection and recognition of traffic signs plays a crucial role in management of the traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
Deep Learning Based Fusion Approach for Hate Speech Detection IEEE BASE PAPER ABSTRACT: In recent years, the increasing prevalence of hate speech in social media has been considered as a serious problem worldwide. Many governments and organizations have made significant …
Crop Yield Prediction based on Indian Agriculture using Machine Learning IEEE BASE PAPER ABSTRACT: In India, we all know that Agriculture is the backbone of the country. This paper predicts the yield of almost all kinds of crops that are …
COVID-19 Future Forecasting Using Supervised Machine Learning Models IEEE BASE PAPER ABSTRACT: Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML …
Comparison of Machine Learning Algorithms for Predicting Crime Hotspots IEEE BASE PAPER ABSTRACT: Crime prediction is of great significance to the formulation of policing strategies and the implementation of crime prevention and control. Machine learning is the current mainstream prediction …
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment IEEE BASE PAPER ABSTRACT: COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing life around the world to a frightening halt and claiming thousands of …
Multi-Cloud System to Avoid Server Failures ABSTRACT: As cloud computing continues to transform modern IT landscapes, ensuring data security and mitigating the risks associated with service availability failures have emerged as critical imperatives. This project, “Multi-Cloud System to Avoid Server …
Filtering Unwanted Messages in Online Social Networking User walls ABSTRACT: With the rapid growth of Online Social Networking (OSN) platforms, managing and filtering unwanted messages has become a significant challenge. Many users exploit these platforms to spread inappropriate, offensive, or …