Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment ...
IEEE

Data-Driven Machine Learning and Visualization for Solar PV System Fault Detection and Power Forecasting

Abstract: With the continuous increase in the relevance of solar energy in the world renewable energy portfolio, the concern of ensuring that solar photovoltaic (PV) systems remain dependable and ...
IEEE

A Study of Data Augmentation for Learning-Driven Scientific Visualization

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
Frontiers

From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction

Tuberculosis (TB) remains a major global health threat, causing approximately 1.5 million deaths each year. Despite progress in treatment, 15%–20% of patients still experience treatment failure or ...