Results in Nonlinear Analysis

About the Journal

Dear Authors,

We are pleased to announce a new scientific journal, in the research field of nonlinear analysis, that was founded at the end of January 2018. It is titled Results in Nonlinear Analysis(RNA) with ISSN 2636-7556

It is an open-access journal, which published only in electronic form.

It is quarterly published journal ( 4 issues in each volume)

The aim is to publish outstanding theoretical and applicable results connected with nonlinear analysis. Besides research papers of significant interest, we would also accept surveys from leading mathematicians on various theory areas of nonlinear analysis.

For the first year’s issues, we would encourage authors to submit their papers to any member of the editorial board.

Current Issue

Vol. 8 No. 4 (2025): Online First

Published: 2026-01-14

Articles

Federated multi-modal learning for cross-platform image computation: A functional analysis and nonlinear optimization approach to privacy preservation
Abstract views: 9 / PDF downloads: 2

Janarthanam S, Raja Sarath Kumar Boddu, B. Vivekanadam, Shakhnoza Ubaydullayeva, Feruza Eshimova, Isayev Fakhriddin, Boltabayev Dilshod Zokir Ugli

1-11
- PDF
Machine learning-enhanced nonlinear differential equation model for predicting osteoporosis progression using bone density imaging data
Abstract views: 5 / PDF downloads: 0

K. Sundareswari, Yunusova Sayyora Toshkenboyevna, Gulandom Shodikulova, Natalya Yusupova, Otabek Mirzayev, R. Jayanthi, Mahesh Sahebrao Wavare

12-23
- PDF
Optimized machine learning models for water quality prediction: Integrating support vector machines and random forest through nonlinear functional analysis
Abstract views: 6 / PDF downloads: 1

G. Baskar, Midhunchakkaravarthy, Shakir Khan, Otabek Narmanov, O’tkir Qalandarov, Manzura Irisbayeva, Isayev Fakhriddin

24–34
- PDF

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Results in Nonlinear Analysis

About the Journal

Current Issue

Articles

Federated multi-modal learning for cross-platform image computation: A functional analysis and nonlinear optimization approach to privacy preservation

Machine learning-enhanced nonlinear differential equation model for predicting osteoporosis progression using bone density imaging data

Optimized machine learning models for water quality prediction: Integrating support vector machines and random forest through nonlinear functional analysis

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