سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Exploring Various Residential Layout Generation Using Conditional Generative Adversarial Networks (Case Study: Apartments In Districts 1 and 2 of Hamadan City)

Publish Year: 1402
Type: Journal paper
Language: English
View: 28

متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دانلود نمایند.

Export:

Link to this Paper:

Document National Code:

JR_IJAUD-14-3_002

Index date: 26 February 2025

Exploring Various Residential Layout Generation Using Conditional Generative Adversarial Networks (Case Study: Apartments In Districts 1 and 2 of Hamadan City) Keywords:

Exploring Various Residential Layout Generation Using Conditional Generative Adversarial Networks (Case Study: Apartments In Districts 1 and 2 of Hamadan City) authors

Mahsa Hamouni

Ph.D. Candidate, Department of Architecture, Faculty of Art & Architecture, South Tehran Branch, Islamic Azad University, Tehran, Iran

Hossein Soltanzadeh

Professor, Department of Architecture, Faculty of Architecture and Urban Planning, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Hadi Ghoddusifar

Assistant Professor, Department of Architecture, Faculty of Art and Architecture, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Muharram Mansoorizadeh

Associate Professor, Department of Computer Science, Faculty of Engineering, Bu-Ali Sina University, Hamadan, Iran.