Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning
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,...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/14/e3sconf_icaw2024_05003.pdf |
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| _version_ | 1850195121592598528 |
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| author | Zatsepina Aleksandra Bardina Galina Shindina Polina |
| author_facet | Zatsepina Aleksandra Bardina Galina Shindina Polina |
| author_sort | Zatsepina Aleksandra |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-97c18093ad6c45eba2a6c8d72fe41fa1 |
| institution | OA Journals |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-97c18093ad6c45eba2a6c8d72fe41fa12025-08-20T02:13:51ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016140500310.1051/e3sconf/202561405003e3sconf_icaw2024_05003Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planningZatsepina Aleksandra0Bardina Galina1Shindina Polina2Peter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/14/e3sconf_icaw2024_05003.pdf |
| spellingShingle | Zatsepina Aleksandra Bardina Galina Shindina Polina Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning E3S Web of Conferences |
| title | Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning |
| title_full | Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning |
| title_fullStr | Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning |
| title_full_unstemmed | Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning |
| title_short | Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning |
| title_sort | eco sensitive site assessment integrating neural networks for environmentally conscious pre project planning |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/14/e3sconf_icaw2024_05003.pdf |
| work_keys_str_mv | AT zatsepinaaleksandra ecosensitivesiteassessmentintegratingneuralnetworksforenvironmentallyconsciouspreprojectplanning AT bardinagalina ecosensitivesiteassessmentintegratingneuralnetworksforenvironmentallyconsciouspreprojectplanning AT shindinapolina ecosensitivesiteassessmentintegratingneuralnetworksforenvironmentallyconsciouspreprojectplanning |