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Peer-Review Statements
Authors
Atul Agnihotri1, *, Prince Karndeep Singh Sandhu2, Ajay Kumar3
1Khalsa College of Engineering and Technology, Amritsar, India
2Khalsa College of Engineering and Technology, Amritsar, India
3National Institute of Technology, Delhi, India
*Corresponding author.
Email: draa.kcet@gmail.com
Corresponding Author
Atul Agnihotri
Available Online 4 June 2026.
- DOI
- 10.2991/978-94-6239-697-5_1How to use a DOI?
- Abstract
All of the articles in this proceedings volume have been presented at the International Conference on Bridging Engineering Disciplines with AI and Machine Learning (BEDAIML-2026) during March 20–21, 2026 in Amritsar, India. These articles have been peer reviewed by the members of the Technical Committee and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference’s review process.
- Copyright
- © 2026 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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Cite this article
TY - CONF AU - Atul Agnihotri AU - Prince Karndeep Singh Sandhu AU - Ajay Kumar PY - 2026 DA - 2026/06/04 TI - Peer-Review Statements BT - Proceedings of the Conference on Bridging Engineering Disciplines with AI and Machine Learning (BEDAIML 2026) PB - Atlantis Press SP - 1 EP - 2 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6239-697-5_1 DO - 10.2991/978-94-6239-697-5_1 ID - Agnihotri2026 ER -