Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Abstract: The fuzzy Min-Max neural network (FMNN) is widely used in pattern classification, pattern recognition, and data mining. However, border over-expansion and hyperbox overlap are issues that ...

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this paper, we introduce a methodology to improve upon the ...

Currently, I need to perform Gaussian filtering on images, but I want to avoid using MATLAB's built-in functions. Given an image of size N x N, my idea is to construct a sparse matrix where both ...

Abstract: An analytical model for GaN HEMTs using Gaussian Function is presented in this paper. The expression proposed is simple and can be differentiated into any higher order. Compared with the ...

Introduction: Causal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...