La Inteligencia Artificial y la producción académica

Kaul, Vivek, Sarah Enslin, and Seth A. Gross. “History of artificial intelligence in medicine.” Gastrointestinal endoscopy 92.4 (2020): 807-812. DOI: https://doi.org/10.1016/j.gie.2020.06.040

Långstedt, Johnny, Jonas Spohr, and Magnus Hellström. “Are our values becoming more fit for artificial intelligence society? A longitudinal study of occupational values and occupational susceptibility to technological substitution.” Technology in Society 72 (2023): 102205. DOI: https://doi.org/10.1016/j.techsoc.2023.102205

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