Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
Facilitating earlier diagnosis and more precise treatment for patients with inflammatory diseases. This is the goal as the ...
Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
Abstract: The phenomenon of cyberbullying has emerged as a critical challenge in the digital landscape which poses detrimental effects on individuals and broader societal frameworks. A viable approach ...
The digital border guards of academic and professional integrity are causing real-world harm in education and business, ...
Abstract: Developmental dyslexia is a learning disorder that typically begins in early childhood, making it difficult for affected individuals to read, write, and spell, even when they possess average ...