GitHub

Infosys Model Inference Library

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.
IEEE

Multilayer Ceramic Capacitor Vibration Source Model Library Development

Abstract: When a multilayer ceramic capacitor (MLCC) is soldered on a printed circuit board (PCB), the capacitor deformation generates a force on the PCB, which serves as a source to excite PCB ...
National Mortgage Professional

The Mortgage Language You Use Every Day, But Never See: Understanding The MISMO Model Vs. MISMO Standards

Ask five mortgage professionals to define “MISMO,” and you’re likely to hear five different answers …Data format.Investor ...
IEEE

Multisource Time-Lapse Elastic Full-Waveform Inversion Using a Target-Oriented Common-Model Strategy

Abstract: Full-waveform inversion (FWI) is a powerful tool for time-lapse seismic analysis, enabling high-resolution imaging of subsurface physical properties to monitor reservoir changes during ...
archive

The data model resource book. Volume 2 : a library of universal data models by industry types

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...