“Social Media Forensics an Adaptive Cyberbullying-Related Hate Speech Detection Approach Based on Neural Networks with Uncertainty” has been added to your cart. View cart
Aim:
To propose an approach that improves the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced model that aims to overcome ambiguity and classification challenges.
Aim:
The primary aim of this study is to develop a robust and accurate auxiliary diagnostic system for breast cancer by integrating machine learning techniques with a hybrid strategy.