Ground-State Eigenvalue Prediction of Materials Using Electronic Shell Structures and Fermionic Properties via Convolutions
A Reinforcement Learning Approach to Effective Forecasting of Pediatric Hypoglycemia in Diabetes I Patients--an extended de Bruijn Graph
Enhancing Photocatalytic Efficiency of TiO2 Nanoparticles through Carbon Doping--An Integrated DFTB and Computer Vision Approach
Text-To-Energy--Accelerating Quantum Chemistry Calculations through Enhanced Text-to-Vector Encoding and Orbital-Aware Multilayer Perceptron
Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data
Predicting Atom Types in Different Temperatures
An Expectation Maximization Algorithm for Big Data
Reduced random forest for big data using priority voting & dynamic data reduction