Researchers at the University of Mississippi are using artificial intelligence to predict moisture damage in asphalt ...

Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile Create optimized graph-based models and functions in any native framework ...

This study introduces MUNIS, a deep learning tool that enhances T cell epitope prediction, crucial for accelerating vaccine ...

In this paper, an ensemble-based joint training framework is proposed for anomaly detection, called E-ORAD, to enhance robustness. E-ORAD jointly optimizes sample weights and anomaly scores within a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Traditional URL filtering methods often struggle to keep up with the evolving tactics of cybercriminals, necessitating more robust and adaptive solutions ... often focus on either machine learning or ...

Following the establishment of a significant association between CRRT initiation timing and overall survival in patients with S-AKI, we developed a comprehensive predictive framework using machine ...

Phil Kwok, co-founder of the Web3 learning platform EasyA, recently sparked a discussion on X after he proposed a framework that showcases the immense potential of XRP. In the first step, Kwok ...