Abstract: Hierarchical Kriging (HK) is a promising surrogate model to fuse multi-fidelity data. In theory, HK can serve as predictor for problems with any number of input dimensions. In practice, for ...

This will allow for parameters in JSON format to be automatically available for EtherNet/IP network-capable devices.

Balaji Bodicherla's insights into data modeling innovations highlight the transformative impact of structured CRM ...

TreeTime is a data organisation, management and analysis tool. A tree is a hierarchical structure that arranges information in units and sub-units. TreeTime uses linked trees (one data item can be ...

Multi-modal foundation models, which can integrate data from various sources ... While curriculum learning can improve a model’s ability to handle multiple tasks through systematic knowledge ...

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R ...

In the current era of Industry 4.0, the Internet of Things (IoT) and smart manufacturing, data flows are more distributed, and the ISA-95 model originated as a hierarchy. Still, the levels allow ...

When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying ...

Data science remains one of the most sought-after professions throughout industries. Advanced analytical skills are highly ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...