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researcher

M. Tahsildoost

3 papers hereh-index 221.8k citations51 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SD1

identity via Semantic Scholar / OpenAlex

most citedDevelopment of a hybrid machine-learning and optimization tool for performance-based solar shading design

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 2 cited

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…

cs.SD2021

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…

cs.LG2021★ 1 cited

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…

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