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 integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Abstract: Predicting and enhancing student performance has been a crucial topic of concentration in education amid the quick development of technology and the increasing need for higher-quality ...
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