Objective: This study aims to develop a generalizable predictive model for adolescent substance use using multinational datasets and ML. Methods: The study used the Korea Youth Risk Behavior Web-Based ...
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results