IEEE

Research on Intelligent Sensing Machine Learning Prediction Model of Material Interface Properties

Abstract: This paper designs an intelligent prediction model using machine learning technology. By collecting data and extracting features of various parameters of material interface properties (such ...
IEEE

A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment

Abstract: Global warming accelerates permafrost degradation, compromising the reliability of critical infrastructure relied upon by over five million people daily. Additionally, permafrost thaw ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
Hosted on MSN

Revolutionary automated tree trimming machine: Precision delimbing for high-quality wood!

Discover the future of forestry with our in-depth look at a revolutionary tree trimming machine designed for efficient and precise tree delimbing. This state-of-the-art automated tree trimming system ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...