GitHub

CUDA-Based Parallel Processing for Diabetes Classification Using K-Nearest Neighbor

The CPU and GPU confusion matrices are nearly identical. The prediction agreement between both implementations reached 99.82%, showing that the CUDA implementation preserved the classification ...
GitHub

k-nearest resampling (kNN) and method-of-fragments (MOF) based rainfall temporal disaggregation model conditioned on circulation patterns (cp) (written in c)

A temporal disaggregation model is usually used to derive sub-daily (like hourly) distributions of weather variables from daily scale. kNN_MOF_CP is a non-parametric disaggregation procedure developed ...
IEEE

T. J. Nagalakshmi

Machine Learning,Support Vector Machine,Internet Of Things,Wireless,Deep Learning,Learning Algorithms,Random Forest,Support Vector Machine Algorithm,Neural Network,Performance Metrics,Random Forest ...
C&EN

Neighbor List Artifacts in Molecular Dynamics Simulations

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