Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities

Authors

DOI:

https://doi.org/10.9771/cp.v15i2.46120

Keywords:

Smart City, Public Management , Artificial Intelligence.

Abstract

With the advent of artificial intelligence, several solutions began to emerge that are premised on autonomy and guided computer learning. This study aims to carry out a prospection based on patents and scientific publications, verifying the state of the art and technique of solutions that implement artificial intelligence aimed at smart cities. This work presents a qualitative-quantitative approach, of an exploratory nature, through research in journals and patent prospecting. Based on the results, academic publications and patent families were analyzed. Thus, China, the United States and Korea were identified as working scientifically and patently in the development of Artificial Intelligence technologies applicable to Smart Cities. It is concluded that the application of these technologies for autonomous and guided decisions reveals itself as a promising area, favoring new research, especially with solutions in the field of urban mobility, security and management.

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Author Biographies

Vagner Simões Santos, Federal Institute of Bahia

Bachelor in Information Systems (2011), Degree in Professional and Technological Education (2020), MBA in Executive Project Management (2012), Specialist in Higher Education Teaching (2016), MBA in Digital Marketing (2021) and Master's in Property Intellectual and Technology Transfer for Innovation (2023). Tech Information Technology at Camaçari City Hall, Instructor at Senai Cimatec, Professor of Higher Education at Faculdade Metropolitana de Camaçari and Tutor at Faculdade Pitagoras. He has experience in the technical area, in the area of ​​projects and teaching in Information Technology, with an emphasis on management, business analysis and implementation of innovative and computerized solutions.

Núbia Moura Ribeiro, Federal Institute of Bahia

PhD in Chemistry from the Federal University of Rio de Janeiro in 2004

Angela Maria Ferreira Lima, Federal Institute of Bahia

PhD in Energy and Environment from the Federal University of Bahia in 2017

Alex Sousa Santos, Federal Institute of Bahia

Specialist in Labor Law and Procedure from Universidade Anhanguera in 2017.

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Published

2022-04-01

How to Cite

Santos, V. S., Ribeiro, N. M., Lima, A. M. F., & Santos, A. S. (2022). Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities. Cadernos De Prospecção, 15(2), 523–540. https://doi.org/10.9771/cp.v15i2.46120

Issue

Section

Prospecções Tecnológicas de Assuntos Específicos