[IEEE Access 2022] ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
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Updated
Aug 12, 2025 - Python
[IEEE Access 2022] ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
Hybrid nanofluid density prediction 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.
SOTA Music Genre Classification using Late Fusion CNN. Evaluated on 12 public datasets. Published in IEEE Access (2024).
Official paper page: Progressive Compression of ResNet: 8.33× reduction, 90.5% accuracy retention — IEEE Access 2026
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