Inteligencia Artificial y la Reconstrucción Urbana de Siria
Palabras clave:
Inteligencia, artificial
Resumen
El trabajo aquí presentado investiga el potencial de la Inteligencia Artificial (IA) para mantener viva la herencia del diseño propio de Siria en modelos de diseño arquitectónico modernos.
Citas
Abioye, S.O., Oyedele, L.O., Akanbi, L., Ajayi, A., Delgado, J.M.D., Bilal, M. & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, p. 103299.
Abubakar, A.I., Ahmad, I., Omeke, K.G., Ozturk, M., Ozturk, C., Abdel-Salam, AM, & Imran, M. A, (2023). A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones, 7(3), p. 214.
Akinosho, T.D., Oyedele, L.O., Bilal, M., Ajayi, A.O., Delgado, M.D., Akinade, O.O. & Ahmed, A.A. (2020). Deep learning in the construction industry: A review of present status and future innovations. Journal of Building Engineering, 32, p. 101827.
Arroyo, P., Schöttle, A. & Christensen, R., (2021, Julio). The Ethical and Social Dilemma of AI Uses in The Construction Industry. En Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, pp. 227-236.
Baduge, S.K., Thilakarathna, S., Perera, J.S., Arashpour, M., Sharafi, P., Teodosio, B. & Mendis, P. (2022). Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction, 141, p. 104440.
Basu, A., Paul, S., Ghosh, S., Das, S., Chanda, B., Bhagvati, C. & Snasel, V. (2023). Digital Restoration of Cultural Heritage with Data-driven Computing: A Survey. IEEE Access.
Bienvenido-Huertas, D., Nieto-Julián, J.E., Moyano, J.J., Macías-Bernal, J.M. & Castro, J. (2019). Implementing artificial intelligence in H-BIM using the J48 algorithm to manage historic buildings. International Journal of Architectural Heritage.
Chaillou, S. (2022). Artificial Intelligence and Architecture From Research to Practice. Croce, V., Caroti, G., Piemonte, A., De Luca, L. & Véron, P. (2023). HBIM and Artificial Intelligence: Classification of Architectural Heritage for Semi-Automatic Scan-to-BIM Reconstruction. Sensors, 23(5), p. 2497.
Deligiorgi, M., Maslioukova, M.I., Averkiou, M., Andreou, A.C., Selvaraju, P., Kalogerakis, E., & Artopoulos, G. (2021). A 3D digitisation workflow for architecture-specific annotation of built heritage. Journal of Archaeological Science: Reports, 37, p. 102787.
Devine, A. & Quinn, B. (2019). Building social capital in a divided city: The potential of events. Journal of Sustainable Tourism, 27(10), p. 14951512.
Díaz-Rodríguez, N. & Pisoni, G. (2020). Accessible cultural heritage through explainable artificial intelligence. En Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, pp. 317-324.
Esling, P. & Devis, N. (2020). Creativity in the era of artificial intelligence. arXiv preprint arXiv:2008.05959.
Ghimire, P. (2023). Digitizing Cultural Heritage of Nepal: Tools for Conservation and Restoration. Unity Journal, 4(01), pp. 254-279.
Gu, N., Yu, R. & Behbahani, P.A. (2021). Parametric design: Theoretical development and algorithmic foundation for design generation in architecture. Handbook of the Mathematics of the Arts and Sciences, pp. 1361-1383. Haraké, M.F. (2021). Building on Chaos Public Sector Project Management in Post-Conflict Countries1.
Heo, S., Han, S., Shin, Y. & Na, S. (2021). Challenges of data refining process during the artificial intelligence development projects in the architecture, engineering and construction industry. Applied Science, 11(22), p. 10919.
Iapaolo, F. (2023). The system of autono-mobility: computer vision and urban complexity— reflections on artificial intelligence at the urban scale. AI & Society, p. 112.
Li, Y., Zhao, L., Chen, Y., Zhang, N., Fan, H. & Zhang, Z. (2023). 3D LiDAR and multi-technology collaboration for preservation of built heritage in China: A review. International Journal of Applied Earth Observation and Geoinformation, 116, p. 103156.
Long, R. & Li, Y. (2021, Julio). Research on energy-efficiency building design based on bim and artificial intelligence. En IOP Conference Series: Earth and Environmental Science, 825(1), p. 012003. IOP Publishing.
Mannan, A.V. & Islam, M.S. (2023, Junio). Exploring Uncharted Architectural Territories through Generative Adversarial Networks with Human Collaboration. En 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1-6. IEEE.
Martins, N.C., Marques, B., Alves, J., Araújo, T., Dias, P. & Santos, B.S. (2022). Augmented reality situated visualization in decision-making. Multimedia Tools and Applications, 81(11), pp. 14749-14772.
McMeel, D. (2022). Algorithms, AI and Architecture - Notes on an extinction. Proceedings of the 24th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA). 2(2), pp. 61-70.
Merabet, G.H., Essaaidi, M., Haddou, M.B., Qolomany, B., Qadir, J., Anan, M., & Benhaddou, D. (2021). Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques. Renewable and Sustainable Energy Reviews, 144, p. 110969.
Mohamed, M.A. & Mohamad, D. (2021, Mayo). The implementation of artificial intelligence (AI) in the Malaysia construction industry. In AIP Conference Proceedings, 2339(1). AIP Publishing.
Munawar, N.A. (2019). Competing heritage: Curating the post-conflict heritage of Roman Syria. Bulletin of the Institute of Classical Studies, 62(1), pp. 142-165.
Oluleye, B.I., Chan, D.W. & Antwi-Afari, P. (2022). Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review. Sustainable Production and Consumption.
Omar, A.F., Zainordin, N., Khoo, S.L. & Peng, J.O.H. (2022, Noviembre). Barriers in implementing artificial intelligence (AI) and Internet of things (IoTs) among Malaysian construction industry. En AIP Conference Proceedings, 2644(1). AIP Publishing.
Oprach, S., Bolduan, T., Steuer, D., Vössing, M. & Haghsheno, S. (2019). Building the future of the construction industry through artificial intelligence and platform thinking.Digitale Welt, 3, pp. 40-44.
Pirchio, D., Walsh, K.Q., Kerr, E., Giongo, I., Giaretton, M., Weldon, B.D. & Sorrentino, L. (2021). Integrated framework to structurally model unreinforced masonry Italian medieval churches from photogrammetry to finite element model analysis through heritage building information modeling. Engineering Structures, 241, p. 112439.
Ploennigs, J. & Berger, M. (2022). AI Art in Architecture.
Prabhakar, V.V., Xavier, C.B. & Abubeker, K.M. (2023). A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry. Materials Today: Proceedings.
Prieto, A.J., Macías-Bernal, J.M., Silva, A. & Ortiz, P. (2019). Fuzzy decision-support system for safeguarding tangible and intangible cultural heritage. Sustainability, 11(14), p. 3953.
Regona, M., Yigitcanlar, T., Xia, B. & Li, R.Y.M. (2022). Opportunities and adoption challenges of AI in the construction industry: a PRISMA review. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), p. 45.
Sanchez, A.L., Comer, J.S. & LaRoche, M. (2022). Enhancing the responsiveness of familybased CBT through culturally informed case conceptualization and treatment planning. Cognitive and Behavioural Practice, 29(4), p. 750770.
Schia, M.H. (2019). The introduction of AI in the construction industry and its impact on human behavior.
Shadi, W. & Bashar, M. (2015). Syrian Archaeological Heritage: Past and Present. Watfa & Mustafa Scientific Culture, 1(3), pp. 1-14.
Spennemann, D.H. (2023). Exhibiting the Heritage of COVID-19—A Conversation with ChatGPT. Heritage, 6(8), pp. 5732-5749.
Srivastava, A., Jawaid, S., Singh, R., Gehlot, A., Akram, S.V., Priyadarshi, N. & Khan, B. (2022). Imperative role of technology intervention and implementation for automation in the construction industry. Advances in Civil Engineering, 2022.
Tjebane, M.M., Musonda, I. & Okoro, C. (2022). Organisational factors of artificial intelligence adoption in the South African construction industry. Frontiers in Built Environment, 8, p. 823998.
Abubakar, A.I., Ahmad, I., Omeke, K.G., Ozturk, M., Ozturk, C., Abdel-Salam, AM, & Imran, M. A, (2023). A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones, 7(3), p. 214.
Akinosho, T.D., Oyedele, L.O., Bilal, M., Ajayi, A.O., Delgado, M.D., Akinade, O.O. & Ahmed, A.A. (2020). Deep learning in the construction industry: A review of present status and future innovations. Journal of Building Engineering, 32, p. 101827.
Arroyo, P., Schöttle, A. & Christensen, R., (2021, Julio). The Ethical and Social Dilemma of AI Uses in The Construction Industry. En Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, pp. 227-236.
Baduge, S.K., Thilakarathna, S., Perera, J.S., Arashpour, M., Sharafi, P., Teodosio, B. & Mendis, P. (2022). Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction, 141, p. 104440.
Basu, A., Paul, S., Ghosh, S., Das, S., Chanda, B., Bhagvati, C. & Snasel, V. (2023). Digital Restoration of Cultural Heritage with Data-driven Computing: A Survey. IEEE Access.
Bienvenido-Huertas, D., Nieto-Julián, J.E., Moyano, J.J., Macías-Bernal, J.M. & Castro, J. (2019). Implementing artificial intelligence in H-BIM using the J48 algorithm to manage historic buildings. International Journal of Architectural Heritage.
Chaillou, S. (2022). Artificial Intelligence and Architecture From Research to Practice. Croce, V., Caroti, G., Piemonte, A., De Luca, L. & Véron, P. (2023). HBIM and Artificial Intelligence: Classification of Architectural Heritage for Semi-Automatic Scan-to-BIM Reconstruction. Sensors, 23(5), p. 2497.
Deligiorgi, M., Maslioukova, M.I., Averkiou, M., Andreou, A.C., Selvaraju, P., Kalogerakis, E., & Artopoulos, G. (2021). A 3D digitisation workflow for architecture-specific annotation of built heritage. Journal of Archaeological Science: Reports, 37, p. 102787.
Devine, A. & Quinn, B. (2019). Building social capital in a divided city: The potential of events. Journal of Sustainable Tourism, 27(10), p. 14951512.
Díaz-Rodríguez, N. & Pisoni, G. (2020). Accessible cultural heritage through explainable artificial intelligence. En Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, pp. 317-324.
Esling, P. & Devis, N. (2020). Creativity in the era of artificial intelligence. arXiv preprint arXiv:2008.05959.
Ghimire, P. (2023). Digitizing Cultural Heritage of Nepal: Tools for Conservation and Restoration. Unity Journal, 4(01), pp. 254-279.
Gu, N., Yu, R. & Behbahani, P.A. (2021). Parametric design: Theoretical development and algorithmic foundation for design generation in architecture. Handbook of the Mathematics of the Arts and Sciences, pp. 1361-1383. Haraké, M.F. (2021). Building on Chaos Public Sector Project Management in Post-Conflict Countries1.
Heo, S., Han, S., Shin, Y. & Na, S. (2021). Challenges of data refining process during the artificial intelligence development projects in the architecture, engineering and construction industry. Applied Science, 11(22), p. 10919.
Iapaolo, F. (2023). The system of autono-mobility: computer vision and urban complexity— reflections on artificial intelligence at the urban scale. AI & Society, p. 112.
Li, Y., Zhao, L., Chen, Y., Zhang, N., Fan, H. & Zhang, Z. (2023). 3D LiDAR and multi-technology collaboration for preservation of built heritage in China: A review. International Journal of Applied Earth Observation and Geoinformation, 116, p. 103156.
Long, R. & Li, Y. (2021, Julio). Research on energy-efficiency building design based on bim and artificial intelligence. En IOP Conference Series: Earth and Environmental Science, 825(1), p. 012003. IOP Publishing.
Mannan, A.V. & Islam, M.S. (2023, Junio). Exploring Uncharted Architectural Territories through Generative Adversarial Networks with Human Collaboration. En 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1-6. IEEE.
Martins, N.C., Marques, B., Alves, J., Araújo, T., Dias, P. & Santos, B.S. (2022). Augmented reality situated visualization in decision-making. Multimedia Tools and Applications, 81(11), pp. 14749-14772.
McMeel, D. (2022). Algorithms, AI and Architecture - Notes on an extinction. Proceedings of the 24th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA). 2(2), pp. 61-70.
Merabet, G.H., Essaaidi, M., Haddou, M.B., Qolomany, B., Qadir, J., Anan, M., & Benhaddou, D. (2021). Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques. Renewable and Sustainable Energy Reviews, 144, p. 110969.
Mohamed, M.A. & Mohamad, D. (2021, Mayo). The implementation of artificial intelligence (AI) in the Malaysia construction industry. In AIP Conference Proceedings, 2339(1). AIP Publishing.
Munawar, N.A. (2019). Competing heritage: Curating the post-conflict heritage of Roman Syria. Bulletin of the Institute of Classical Studies, 62(1), pp. 142-165.
Oluleye, B.I., Chan, D.W. & Antwi-Afari, P. (2022). Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review. Sustainable Production and Consumption.
Omar, A.F., Zainordin, N., Khoo, S.L. & Peng, J.O.H. (2022, Noviembre). Barriers in implementing artificial intelligence (AI) and Internet of things (IoTs) among Malaysian construction industry. En AIP Conference Proceedings, 2644(1). AIP Publishing.
Oprach, S., Bolduan, T., Steuer, D., Vössing, M. & Haghsheno, S. (2019). Building the future of the construction industry through artificial intelligence and platform thinking.Digitale Welt, 3, pp. 40-44.
Pirchio, D., Walsh, K.Q., Kerr, E., Giongo, I., Giaretton, M., Weldon, B.D. & Sorrentino, L. (2021). Integrated framework to structurally model unreinforced masonry Italian medieval churches from photogrammetry to finite element model analysis through heritage building information modeling. Engineering Structures, 241, p. 112439.
Ploennigs, J. & Berger, M. (2022). AI Art in Architecture.
Prabhakar, V.V., Xavier, C.B. & Abubeker, K.M. (2023). A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry. Materials Today: Proceedings.
Prieto, A.J., Macías-Bernal, J.M., Silva, A. & Ortiz, P. (2019). Fuzzy decision-support system for safeguarding tangible and intangible cultural heritage. Sustainability, 11(14), p. 3953.
Regona, M., Yigitcanlar, T., Xia, B. & Li, R.Y.M. (2022). Opportunities and adoption challenges of AI in the construction industry: a PRISMA review. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), p. 45.
Sanchez, A.L., Comer, J.S. & LaRoche, M. (2022). Enhancing the responsiveness of familybased CBT through culturally informed case conceptualization and treatment planning. Cognitive and Behavioural Practice, 29(4), p. 750770.
Schia, M.H. (2019). The introduction of AI in the construction industry and its impact on human behavior.
Shadi, W. & Bashar, M. (2015). Syrian Archaeological Heritage: Past and Present. Watfa & Mustafa Scientific Culture, 1(3), pp. 1-14.
Spennemann, D.H. (2023). Exhibiting the Heritage of COVID-19—A Conversation with ChatGPT. Heritage, 6(8), pp. 5732-5749.
Srivastava, A., Jawaid, S., Singh, R., Gehlot, A., Akram, S.V., Priyadarshi, N. & Khan, B. (2022). Imperative role of technology intervention and implementation for automation in the construction industry. Advances in Civil Engineering, 2022.
Tjebane, M.M., Musonda, I. & Okoro, C. (2022). Organisational factors of artificial intelligence adoption in the South African construction industry. Frontiers in Built Environment, 8, p. 823998.
Publicado
2024-04-24
Cómo citar
Maksoud, M. (2024). Inteligencia Artificial y la Reconstrucción Urbana de Siria. Cuadernos Del Centro De Estudios De Diseño Y Comunicación, (220). https://doi.org/10.18682/cdc.vi220.11147
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