Exploring Appropriate Standards to Develop a Child Online Protection Dataset For a Deep Learning Model to Educate Parents

A DEEP LEARNING-BASED ENGLISH TO YORUBA NEURAL TRANSLATION MODEL

A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task

Query-by-Humming (QbH) is a task that involves finding the most relevant song based on a hummed or s

To educate a woman and to educate a man: Gender‐specific sexual behavior and human immunodeficiency virus responses to an education reform in Botswana

Abstract This study analyses mechanisms that link education to human immunodeficiency virus (HIV) w

A Proposed AI-Based Framework for Child Online Protection in the Sultanate of Oman

Children aged 10–18 in Oman face a growing cyber threat landscape—cyberbullying, online grooming, ph

EXPLORING A TRICOMPONENT ATTITUDE MODEL FOR THE APPLICATION OF “FORCED” ONLINE LEARNING IN THE POST-COVID ERA

Purpose – The present study explores a tricomponent attitude model for “forced” online learning appl

Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model

Abstract Climatic factors influence malaria transmission via the effect on the Anopheles vector and