2 citations · 4 across the 5 of their papers we have counts for
5 papers
An AI-driven framework for rapid and localized optimizations of urban open spaces
Pegah Eshraghi, Arman Nikkhah Dehnavi, Maedeh Mirdamadi +2
As urbanization accelerates, open spaces are increasingly recognized for their role in enhancing sustainability and well-being, yet they remain underexplored compared to built spac…
Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance in dry-arid climates
Pegah Eshraghi, Riccardo Talami, Arman Nikkhah Dehnavi +2
In rapidly urbanizing regions, designing climate-responsive urban forms is crucial for sustainable development, especially in dry arid-climates where urban morphology has a signifi…
Development of a hybrid machine-learning and optimization tool for performance-based solar shading design
Maryam Daneshi, Reza Taghavi Fard, Zahra Sadat Zomorodian +1
Solar shading design should be done for the desired Indoor Environmental Quality (IEQ) in the early design stages. This field can be very challenging and time-consuming also requir…
A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages
Reyhane Abarghooie, Zahra Sadat Zomorodian, Mohammad Tahsildoost +1
In time-cost scale model studies, predicting acoustic performance by using simulation methods is a commonly used method that is preferred. In this field, building acoustic simulati…
A machine-learning framework for daylight and visual comfort assessment in early design stages
Hanieh Nourkojouri, Zahra Sadat Zomorodian, Mohammad Tahsildoost +1
This research is mainly focused on the assessment of machine learning algorithms in the prediction of daylight and visual comfort metrics in the early design stages. A dataset was…