Machine Learning

Cooperative Model Framework with Minimal Viable Theoretical Data

An Efficient and Novel Approach for Predicting Kohn-Sham Total Energy--Bootstrapping a Cooperative Model Framework with Minimal Viable Theoretical Data

Regeneration of Lithium-ion Battery Impedance

Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data

Machine Learning Systems for Multi-Atoms Structures

CH3NH3PbI3 Perovskite Nanoparticles

Rare-class Learning

Rare-class Learning over Mg-Doped ZnO Nanoparticles

Atom Type Prediction

Predicting Atom Types in Different Temperatures

Artificial Intelligence Based Hospital Appointment System

Hospital Appointment System

Iterative Machine Learning

A Novel Approach to Optimization of Iterative Machine Learning Algorithms

Random Forest

Reduced random forest for big data using priority voting & dynamic data reduction