Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Peer-Review Statements

Authors
Kailas Patil1, *, Fernando Moreira2, Sital Dash1, *
1Vishwakarma University, Pune, Maharashtra, India
2REMIT, Universidade Portucalense, Porto, Portugal
*Corresponding author. Email: kailas.patil@vupune.ac.in
*Corresponding author.
Corresponding Authors
Kailas Patil, Sital Dash
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_1How to use a DOI?
Abstract

All of the articles in this proceedings volume have been presented at the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025(ICSIAIML 2025) during 9th-10th October 2025 in Vishwakarma University, Pune. These articles have been peer reviewed by the members of the Technical Program Committee and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference’s review process.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_1How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kailas Patil
AU  - Fernando Moreira
AU  - Sital Dash
PY  - 2026
DA  - 2026/01/06
TI  - Peer-Review Statements
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_1
DO  - 10.2991/978-94-6463-948-3_1
ID  - Patil2026
ER  -