Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates

• Abdollah Baghaei Daemei,
• Tomasz Bradecki,
• Alina Pancewicz,
• Amirali Razzaghipour,
• Amiraslan Darvish,
• Asma Jamali,
• Seyedeh Maryam Abbaszadegan,
• Reza Askarizad,
• Reza Askarizad,
• Mostafa Kazemi,
• Ayyoob Sharifi,
• Ayyoob Sharifi

Affiliations

Abdollah Baghaei Daemei

School of Built Environment, Massey University, Auckland, New Zealand

Tomasz Bradecki

Faculty of Architecture, Silesian University of Technology, Gliwice, Poland

Alina Pancewicz

Faculty of Architecture, Silesian University of Technology, Gliwice, Poland

Amirali Razzaghipour

School of Design and the Built Environment, Curtin University, Perth, WA, Australia

Amiraslan Darvish

Department of Environmental Conservation, Sustainable Building Systems Engineering, University of Massachusetts Amherst, Amherst, MA, United States

Asma Jamali

Department of Architectural Engineering, Rahbord Shomal University, Rasht, Iran

Seyedeh Maryam Abbaszadegan

Department of Engineering, La Trobe University, Melbourne, VIC, Australia

Reza Askarizad

Department of Urban and Regional Planning, Universidad Politécnica de Madrid, Madrid, Spain

Reza Askarizad

Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, Cagliari, Italy

Mostafa Kazemi

School of Environment and Sustainability, Royal Roads University, Victoria, BC, Canada

Ayyoob Sharifi

0Center for Peaceful and Sustainable Futures (CEPEAS), The IDEC Institute, Hiroshima University, Hiroshima, Hiroshima, Japan

Ayyoob Sharifi

1School of Architecture and Design, Lebanese American University, Beirut, Beirut, Lebanon