La Inteligencia Artificial y la producción académica

https://doi.org/10.25100/iyc.v24i02.13293

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Published: May 26, 2022
Issue: Vol. 24 No. 02 (2022): Ingeniería y Competitividad
Section Editorial

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Authors

  Ruben Jesus Camargo Amado Universidad del Valle, Cali
  Ana María Mosquera-Ayala Universidad del Valle, Cali
Author Biographies

Ruben Jesus Camargo Amado, Universidad del Valle, Cali

https://orcid.org/0000-0003-0640-0104 

Ana María Mosquera-Ayala, Universidad del Valle, Cali

https://orcid.org/0000-0001-8205-5651 

How to Cite
1.
Camargo Amado RJ, Mosquera-Ayala AM. La Inteligencia Artificial y la producción académica . inycomp [Internet]. 2022 May 26 [cited 2024 Nov. 22];24(02). Available from: https://revistaingenieria.univalle.edu.co/index.php/ingenieria_y_competitividad/article/view/13293
References

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Yüksel, Nurullah, et al. “Review of artificial intelligence applications in engineering design perspective.” Engineering Applications of Artificial Intelligence 118 (2023): 105697. DOI: https://doi.org/10.1016/j.engappai.2022.105697

Hernandez-Matheus, Alejandro, et al. “A systematic review of machine learning techniques related to local energy communities.” Renewable and Sustainable Energy Reviews 170 (2022): 112651. DOI: https://doi.org/10.1016/j.rser.2022.112651

Shang, Hang, Changying Liu, and Ruijian Wang. “Measurement methods of 3D shape of large-scale complex surfaces based on computer vision: A review.” Measurement 197 (2022): 111302. DOI: https://doi.org/10.1016/j.measurement.2022.111302

Behera, Rajat Kumar, et al. “Responsible natural language processing: A principlist framework for social benefits.” Technological Forecasting and Social Change 188 (2023): 122306. DOI: https://doi.org/10.1016/j.techfore.2022.122306

Zou, Chengxiong, et al. “Integrating data mining and machine learning to discover high-strength ductile titanium alloys.” Acta Materialia 202 (2021): 211-221. DOI: https://doi.org/10.1016/j.actamat.2020.10.056

Whitworth, A. H., and K. D. Tsavdaridis. “Embodied energy optimization of steel-concrete composite beams using a genetic algorithm.” Procedia Manufacturing 44 (2020): 417-424. DOI: https://doi.org/10.1016/j.promfg.2020.02.275

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