IEEE

Comprehensive Component Health Monitoring of 3-Phase 2-Stage Grid Connected PV System via Digital Twin

Abstract: This article presents a novel approach for parameter estimation, health monitoring, and power loss calculation of a 3-phase 2-stage grid-connected photo-voltaic (PV) system using a digital ...
GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. babyphatotia-lab / tensorrt-llm Public forked from NVIDIA/TensorRT ...
IEEE

Extended Network-Based Statistics for Measuring Altered Directed Connectivity Components in the Human Brain

Abstract: The human brain is thought to be an interconnected network. In network analysis of the human brain, one of the most concerned issue is how to measure the altered directed connectivity ...