GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
IEEE

Partially Interacting Multiple-Model Algorithm With Maneuvering Parameters Initialized by Gaussian Mixture

Abstract: The challenge of maneuvering target tracking lies in the difficulty of handling the uncertainty of target motion types and the uncertainty of maneuvering parameters simultaneously. In this ...
IEEE

Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
GitHub

lanun: 2D Lagrangian Particle Transport for Idealized Ocean Basins

A Numba-accelerated Python library for simulating two-dimensional Lagrangian particle transport in idealized semi-enclosed ocean basins using Bell's incompressible flow field. This is an idealized 2D ...