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Abdollah Baghaei Daemei1*
Tomasz Bradecki2Alina Pancewicz2Amirali Razzaghipour3Amiraslan Darvish4Asma Jamali5Seyedeh Maryam Abbaszadegan6Reza Askarizad7,8Mostafa Kazemi9
Ayyoob Sharifi10,11- 1School of Built Environment, Massey University, Auckland, New Zealand
- 2Faculty of Architecture, Silesian University of Technology, Gliwice, Poland
- 3School of Design and the Built Environment, Curtin University, Perth, WA, Australia
- 4Department of Environmental Conservation, Sustainable Building Systems Engineering, University of Massachusetts Amherst, Amherst, MA, United States
- 5Department of Architectural Engineering, Rahbord Shomal University, Rasht, Iran
- 6Department of Engineering, La Trobe University, Melbourne, VIC, Australia
- 7Department of Urban and Regional Planning, Universidad Politécnica de Madrid, Madrid, Spain
- 8Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, Cagliari, Italy
- 9School of Environment and Sustainability, Royal Roads University, Victoria, BC, Canada
- 10Center for Peaceful and Sustainable Futures (CEPEAS), The IDEC Institute, Hiroshima University, Hiroshima, Hiroshima, Japan
- 11School of Architecture and Design, Lebanese American University, Beirut, Beirut, Lebanon
A Corrigendum on
An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates
by Daemei AB, Bradecki T, Pancewicz A, Razzaghipour A, Jamali A, Abbaszadegan SM, Askarizad R, Kazemi M and Sharifi A (2024). Front. Energy Res. 12:1447655. doi: 10.3389/fenrg.2024.1447655
Error in Author List
In the published article, there was an error in the Author list, and author Amiraslan Darvish was erroneously excluded. The corrected Author list appears below.
“Abdollah Baghaei Daemei1*, Tomasz Bradecki2, Alina Pancewicz2, Amirali Razzaghipour3, Amiraslan Darvish4, Asma Jamali5, Seyedeh Maryam Abbaszadegan6, Reza Askarizad7,8, Mostafa Kazemi9, Ayyoob Sharifi10,11”
Error in Affiliation
In the published article, there was an error in Affiliation 9. Instead of “Department of Architecture, Tabriz Branch, Islamic Azad University, Tabriz, Iran,” it should be “School of Environment and Sustainability, Royal Roads University, Victoria, Canada.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: green walls, experimental measurement, humid climate, cooling performance, ambient air temperature, urban heat island, deep learning model, artificial neural network
Citation: Baghaei Daemei A, Bradecki T, Pancewicz A, Razzaghipour A, Darvish A, Jamali A, Abbaszadegan SM, Askarizad R, Kazemi M and Sharifi A (2024) Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates. Front. Energy Res. 12:1477060. doi: 10.3389/fenrg.2024.1477060
Received: 07 August 2024; Accepted: 09 August 2024;
Published: 22 August 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Baghaei Daemei, Bradecki, Pancewicz, Razzaghipour, Darvish, Jamali, Abbaszadegan, Askarizad, Kazemi and Sharifi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Abdollah Baghaei Daemei, YWJhZ2hhZWlAbWFzc2V5LmFjLm56