Multimodal Federated Transformer: Advancing Medical Image Captioning with MASNet-ViT Fusion and Enhanced Spiking Neural Networks

Determining the density, coefficient of thermal expansion of BaTiO3 across range of 400 K to 1075 K is principal goal of the investigation. Coefficient of temperature dependence of density and coefficient of volume thermal expansion of the compound is assessed. Additionally, the research has been broadened to evaluate the linear attenuation coefficient at various γ-energies over a temperature range using value of mass attenuation coefficient.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-02-19
DOI
https://doi.org/10.52783/jisem.v10i12s.1950
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

Multimodal Federated Transformer: Advancing Medical Image Captioning with MASNet-ViT Fusion and Enhanced Spiking Neural Networks

A. Charan Kumari
Journal of Information Systems Engineering & Management
Image Retrieval and Classification Techniques
article

Multimodal Federated Transformer: Advancing Medical Image Captioning with MASNet-ViT Fusion and Enhanced Spiking Neural Networks

A. Charan Kumari
article en

Abstract

Determining the density, coefficient of thermal expansion of BaTiO3 across range of 400 K to 1075 K is principal goal of the investigation. Coefficient of temperature dependence of density and coefficient of volume thermal expansion of the compound is assessed. Additionally, the research has been broadened to evaluate the linear attenuation coefficient at various γ-energies over a temperature range using value of mass attenuation coefficient.

Journal of Information Systems Engineering & ManagementVol. 10(12s)
Openalex Percentile: Top 98%
Image Retrieval and Classification Techniques
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