Abstract: The objective of this paper is to develop a physics-informed machine learning methodology for parametric modeling of permanent magnet synchronous machines (PMSMs). A deep neural network is ...

Abstract: This article proposes a time-varying parametric scattering model guided network that estimates the multidimensional parameters of group cone-shaped targets. First, the time-varying ...

Social Security tax will be imposed on up to $184,500 of earnings. Average benefits will rise $56 a month, but Medicare Part B premium hikes will eat up part of that. Did you know you could triple ...

Demeter is a plant parametric models that is learned from 3D scans of real-world plants. It explicitly models the plant as a graph of stem and leaf. The raw soybean mesh data can be found in this ...

A minimal Python package for the Momentum Human Rig - a parametric 3D human body model with identity, pose, and facial expression parameterization. New to TorchScript model? In short it's a Graph mode ...