A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms

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 research presents a robust and comprehensive framework for predicting the density of hybrid nanofluids using state-of-the-art machine learning and deep learning techniques. Addressing the limitations of conventional empirical approaches, the study used a curated dataset of 436 samples from the...

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Bibliographic Details
Main Authors: Priya Mathur, Hammad Shaikh, Farhan Sheth, Dheeraj Kumar, Amit Kumar Gupta
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Density prediction
hybrid nanofluids
machine learning
deep learning
data augmentation
meta-heuristic optimization
Online Access:https://ieeexplore.ieee.org/document/10892114/
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