Harmonic Neural Architecture: A Fractal-Based Order Model for Robust Artificial Intelligence and Medical Imaging Enhancement

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Autore principale: Garbar, Iryna
Natura: Recurso digital
Pubblicazione: Zenodo 2025
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author Garbar, Iryna
author_facet Garbar, Iryna
contents <p>Artificial intelligence systems frequently rely on highly redundant and computationally expensive architectures. This work introduces <strong>Harmonic Neural Architecture (HNA)</strong>, a biologically inspired framework that applies fractal geometry, harmonic order, and Fibonacci-based structural patterns to create more robust and efficient AI systems. We present a mathematically grounded architecture with reduced structural entropy, improved gradient stability, and increased noise tolerance. A complementary method, <strong>Fibonacci Noise Reduction (FNR)</strong>, enhances ultrasound, CT, and MRI imaging by applying harmonic convolution kernels and fractal multi-scale filtering. This preprint establishes the theoretical foundation for a new interdisciplinary field: <strong>Harmonic Intelligence Research (HIR)</strong>.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17821600
institution Zenodo
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publishDate 2025
publisher Zenodo
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spellingShingle Harmonic Neural Architecture: A Fractal-Based Order Model for Robust Artificial Intelligence and Medical Imaging Enhancement
Garbar, Iryna
Harmonic Neural Architecture
Fractal Neural Networks
Fibonacci Scaling
Medical Imaging
Ultrasound Denoising
AI Robustness, Structural Entropy
Computational Neuroscience
Image Processing
Complexity Science
Harmonic Intelligence
<p>Artificial intelligence systems frequently rely on highly redundant and computationally expensive architectures. This work introduces <strong>Harmonic Neural Architecture (HNA)</strong>, a biologically inspired framework that applies fractal geometry, harmonic order, and Fibonacci-based structural patterns to create more robust and efficient AI systems. We present a mathematically grounded architecture with reduced structural entropy, improved gradient stability, and increased noise tolerance. A complementary method, <strong>Fibonacci Noise Reduction (FNR)</strong>, enhances ultrasound, CT, and MRI imaging by applying harmonic convolution kernels and fractal multi-scale filtering. This preprint establishes the theoretical foundation for a new interdisciplinary field: <strong>Harmonic Intelligence Research (HIR)</strong>.</p>
title Harmonic Neural Architecture: A Fractal-Based Order Model for Robust Artificial Intelligence and Medical Imaging Enhancement
topic Harmonic Neural Architecture
Fractal Neural Networks
Fibonacci Scaling
Medical Imaging
Ultrasound Denoising
AI Robustness, Structural Entropy
Computational Neuroscience
Image Processing
Complexity Science
Harmonic Intelligence
url https://doi.org/10.5281/zenodo.17821600