Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)

Peer-Review Statements

Authors
Ika Hesti Agustin1, *
1University of Jember, Jember, Indonesia
*Corresponding author. Email: ikahesti.fmipa@unej.ac.id
Corresponding Author
Ika Hesti Agustin
Available Online 29 June 2024.
DOI
10.2991/978-94-6463-445-7_1How to use a DOI?
Abstract

All the articles in this proceedings volume have been presented at the Second International Conference on Neural Networks and Machine Learning 2022 during 7th-8th November 2023 in University of Jember, Indonesia. These articles have been peer reviewed by the members of the Scientific Committee and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference’s review process.

Copyright
© 2024 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 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
Series
Advances in Intelligent Systems Research
Publication Date
29 June 2024
ISBN
10.2991/978-94-6463-445-7_1
ISSN
1951-6851
DOI
10.2991/978-94-6463-445-7_1How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Ika Hesti Agustin
PY  - 2024
DA  - 2024/06/29
TI  - Peer-Review Statements
BT  - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-445-7_1
DO  - 10.2991/978-94-6463-445-7_1
ID  - Agustin2024
ER  -