ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...
Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...
A metadata-driven framework for orchestrating Databricks Lakeflow Jobs. Package as a library and run as a single task in a Lakeflow Jobs to continuously monitor for metadata changes and automatically ...
FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...
Explosive crushing videos with powerful destruction you can’t miss. Early results show Taylor Rehmet leading Leigh Wambsganss in closely watched Senate runoff Enormous freshwater reservoir discovered ...
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...
As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...
Abstract: The abstraction of free-standing metadata describing learning objects is typified by an analytical model which primarily focuses on the encoding of discrete properties pertaining to the ...
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