| Issue |
E3S Web Conf.
Volume 614, 2025
International Conference on Agritech and Water Management (ICAW 2024)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 8 | |
| Section | Application of IT Technologies in Ecology and Natural Resource Management | |
| DOI | https://doi.org/10.1051/e3sconf/202561405003 | |
| Published online | 07 February 2025 | |
Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning
Peter the Great St. Petersburg Polytechnic University, 195251 Saint-Petersburg, Russia
* Corresponding author: zatsepina.aleksandra@yandex.ru
The use of neural networks in the architectural design pre-phase is becoming increasingly prevalent among designers. This article presents a method of textual and graphical analysis of construction sites using neural networks. On the example of two projects, which won the architectural competition, the following are considered: qualitative characteristics analysis of the territory using Autodesk Forma software, cultural context analysis using ChatGPT, image generation using MidJourney and 3D-models generation using the neural network Meshy.ai. In regard to ChatGPT, the "risks" method is presented as a means of achieving optimal results. The possibility of factual errors in ChatGPT text generations is indicated.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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