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

Fractional envelope analysis for rolling element bearing weak fault feature extraction

Abstract: The bearing weak fault feature extraction is crucial to mechanical fault diagnosis and machine condition monitoring. Envelope analysis based on Hilbert transform has been widely used in ...
IEEE

Improving the Accuracy of Acoustic Emission Sources Linear Location Based on Constructing the Acoustic Signal Envelope Via the Hilbert Transform

Abstract: This paper addresses the methodological aspects of constructing acoustic emission (AE) sources linear localizations. At the solving the problem initial stage, a series of experimental ...
GitHub

Transform OpenAPI definitions into MCP (Model Context Protocol) tools for seamless LLM-API integration.

Model Context Protocol (MCP) is a standard protocol that allows AI models to interact with external tools and data sources. Unlike REST APIs that use HTTP requests, MCP uses JSON-RPC messages over ...
Hackaday

Treating Functions As Vectors In Hilbert Space

Perhaps the most beautiful aspect of mathematics is that it applies to literally everything, even things that do not exist in this Universe. In addition to this there are a number of alternative ways ...