Detection of Fake and Clone accounts in Twitter using Classification and Distance Measure Algorithms IEEE BASE PAPER ABSTRACT: Online Social Network (OSN) is a network hub where people with similar interests or real world relationships interact. As the popularity of …
Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms IEEE BASE PAPER ABSTRACT: Electronic mail has eased communication methods for many organisations as well as individuals. This method is exploited for fraudulent gain by spammers through sending unsolicited …
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 …