News-Medical.Net

New method boosts AI-driven protein engineering with massive data

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Nine machine learning models—decision tree, random forest (RF), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), support vector machine, elastic net, logistic ...
IEEE

Boosting Software Quality: A Machine Learning Technique for Predicting Defects

Abstract: In order to increase automation, strengthen decision- making, and improve efficiency while reducing costs and maintaining precision, the development of intelligent machinery is becoming more ...
IEEE

Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells

Abstract: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...