Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization

Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization

Abstract The process of image formulation uses semantic analysis to extract influential vectors from image components. The proposed approach integrates DenseNet with ResNet-50, VGG-19, and GoogLeNet using an innovative bonding process that establishes algorithmic channeling between these models. The...

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Bibliographic Details
Main Authors: Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Features fusion
Composite structure
Architectural bonding
Algorithmic channelizing
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-90616-w
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https://doi.org/10.1038/s41598-025-90616-w

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