Abstract: Interoperability among diverse data standards is crucial for advancing digital technologies in smart manufacturing and transportation. This paper studies and presents a hybrid AI framework ...
The hemp market in 2026 looks very different from just a few years ago. Clearer rules, better lab testing, and stronger buyer ...
Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
The Ethiopian Neonatal Network (ENN) represents one of the first low-income country neonatal quality improvement (QI) ...
By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...
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