This paper presents a class of transformation function, the T-F function, for finding better minimizers in global optimization. We first give the definition of the T-F function and prove that under ...

Reported Data Supports the Potential Extension of HD-MAP Vaccine Delivery to Oncology Indications Recently published data generated by researchers at The University of Queensland and Vaxxas shows ...

This DataWeave example flattens the data in the interests and contenttypes arrays with the function that is defined in the header, and it only outputs contenttypes when it is not empty.

We present a neural implicit map based transformation algorithm to fill this gap. As our neural implicit map is transformable, our model supports remapping for this special map of latent features.

Description You can create a transformation that can dynamically change what it does depending on a definition input. This DataWeave example receives both a payload input, and a variable named mapping ...