IEEE Access 2022
-
Updated
Sep 29, 2024 - Python
IEEE Access 2022
Dataset for the IEEE Access research paper: "A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms"
This repository contains code for a comprehensive hybrid machine learning and deep learning frameworks for accurately predicting hybrid nanofluid density using stacking ensembles, advanced data augmentation, and metaheuristic optimization techniques.
Add a description, image, and links to the ieee-access topic page so that developers can more easily learn about it.
To associate your repository with the ieee-access topic, visit your repo's landing page and select "manage topics."