IEEE

Data-Driven Parameter Calibration of Power System EMT Model Based on Sobol Sensitivity Analysis and Gaussian Mixture Model

Abstract: The parameters of power system electromagnetic transient (EMT) model have great influences on the accuracy of EMT simulation. This paper proposes a data-driven parameter calibration method ...
Journal of Medical Internet Research

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information ...

The best-performing model was additionally validated using a temporal external dataset including 309 LT cases from February 2020 to August 2022, and an independent external dataset extracted from the ...
IEEE

Semi-Supervised Probabilistic Learning Network for Soft Sensor Modeling With Partially Labeled Data

Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...
GitHub

Evo 2: Genome modeling and design across all domains of life

Evo 2 is a state of the art DNA language model for long context modeling and design. Evo 2 models DNA sequences at single-nucleotide resolution at up to 1 million base pair context length using the ...